Machine Learning articles

Time frame: 1 May 2025 - 30 April 2026

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Count: 871

Article ‘Count’ for Machine Learning.

Journal Count
9
GrapheneChat: A Large Language Model for Enhancing Graphene Research
Flicker-Suppressed Neuromorphic Unit for Dynamic Vision Processing
Reconfigurable Dual-Terminal WSe2/h-BN p-n Photodetectors for In-Sensor Red-Green-Blue Convolution and Motion Detection
Ultrasensitive 2D Vermiculite Inorganic Liquid Crystals for Nonlinear Optical Activation
Magnetic Skyrmion Neurons with Homeostasis for Spiking Neural Networks
A Robust Biomimetic van der Waals Heterostructure Visual Neuromorphic Device for Multiscale In-Sensor Reservoir Computing
A Reconfigurable Silicon Transistor for Noise-Resilient Stochastic Spiking Neural Networks
Preoperative Identification of Papillary Thyroid Carcinoma Subtypes and Lymph Node Metastasis via Deep Learning-Assisted Surface-Enhanced Raman Spectroscopy
Binary Neural Network Based on a Programmable Graphene/Si Schottky Diode for In-Sensor Processing Image Sensors
16
In‐Situ Four‐Dimensional Neuromorphic Transistors for Spatiotemporal Fusion Information Perception
Multimodal Photoelectric Synapses Based on 2D WS2/PdSe2 Heterostructures for High-Accuracy Neuromorphic Vision
High Operation Density Logic‐Gates for Multi‐Bit Arithmetic Logic Unit Based on Multi‐Region Barrier Modulation Optoelectronic Transistor
Ultraviolet‐Regulated Synaptic‐Neuronal Function Reconfigurable Transparent Memristor for Neuromorphic Computing Hardware
Mechanically Programmable Diffractive Neural Networks Based on Pancharatnam-Berry Phase
A Flexible, Broadband Optoelectronic Memristor for Neuromorphic Visual Perception and Intelligent Image Processing
A Cross-Scale Memristor-Based Neuromorphic Platform Bridging Physical Encoding and Medical Inference
A Flexible Artificial Optical Synapse with Photo‐Gating Based on a Heterojunction Channel of Reduced Graphene Oxide and ZnO Nanorods
A Photonic Neuromorphic Autonomous Perceptual Decision System Enabled by MOF-Based Array
A Dynamic Adaptive Activation Neuron-Transistor for Dynamic Sparse Neural Networks in Advanced Driving Assistance System
Plasmonic‐Fluorescent Au Hybrids with Silver‐Regulated Optical Switching Synergized with Deep Learning Enabling Intelligent Biosensing
Gaussian‐Sigmoid Reinforcement Transistors: Resolving Exploration‐Exploitation Trade‐Off Through Gate Voltage‐Controlled Activation Functions
2D Covalent Organic Framework‐Based Heterostructure for Neuromorphic Visual Processing
Frame‐Channel Engineered Multimodal Transistor Integrating Neuromorphic Computing with Cross‐Modal Edge Intelligence
All-in-One Analog AI Hardware: On-Chip Training and Inference with Conductive-Metal-Oxide/HfOx ReRAM Devices
Hardware‐Implemented DropConnect Function for Energy‐Efficient Neuromorphic Computing
13
Artificial Refractory Neuron Based on Cs2AgBiBr6 Nanoionic Memristor for Efficient Motion Information Processing
Dispersion‐Engineered Terahertz Spoof Plasmonic Neural Network for Parallel Computing and On‐Chip Communication
Timing-Dependent Spiking Neural Network: Board-Level Hardware Implementation with Photoelectroactive Van der Waals Synapses
Transistor-Level Activation Functions via Two-Gate Designs: From Analog Sigmoid and Gaussian Control to Real-Time Hardware Demonstrations
Fiber Transistors as a Hardware Surrogate Gradient for Backpropagation in Spiking Neural Networks
Monolithic 3D Integration of Vertical Memory with Phototransistor for Near‐Sensor Cryptography and Homomorphic Data Searching
Neuromorphic Silicon‐Based Capacitive‐Tunneling Junction
Highly Tunable Synaptic Modulation in Photo-Activated Remote Charge Trap Memory for Hardware-Based Fault-Tolerant Learning
A Pupillary Light Reflex Inspired Self-Adaptive Spiking Visual Neuron
Neuromorphic Visual Receptive Field Hardware with Vertically Integrated Indium-Gallium-Zinc-Oxide Optoelectronic Memristors over Silicon Neuron Transistors
Steep‐Slope CuInPsub2/subSsub6/sub Ferroionic Threshold Switching Field‐Effect Transistor for Implementation of Artificial Spiking Neuron
Hardware Implementation of On‐Chip Hebbian Learning Through Integrated Neuromorphic Architecture
Integrated Polarization, Distance, and Rotation for Multi‐DoF Diffractive Processor and Information Encryption
4
Diagnosis of Leukemia from Bone Marrow Flow Cytometry Data using Deep Learning and Explainable AI
Machine Learning Predicts Adequacy of Rapid On-site Evaluation in Fine Needle Aspirations in Lung Cancer Cytology
PathViT: Automated disease classification from skeletal muscle histopathology
Ovarian Cancer Detection in Ascites Cytology with Weakly Supervised Model on Nationwide Dataset
15
An Integrated Wasserstein GAN–Transformer Deep Learning Framework for Accurate Raman Spectral Identification of Escherichia coli Strains
A Thermogalvanic Cell Microneedle Patch for Integrated Diagnosis and Treatment of UV-Induced Early Skin Cancer
Unified Multitask Modeling for Retention Time Prediction Across Chromatographic Conditions
Information-Guided Fusion of Multimodal Vibrational Spectroscopy for Disease Diagnosis Based on Symbiotic Attention Decoupled Contrastive Learning
A Novel Method for Hydrogen Permeation Detection Using Reflective Microscopy and Machine Learning
A Facile Method Based on Faster R-CNN for Cell Detection in Microfluidic Devices
Spatial-Spectral Deep Learning for Prostate Cancer Tissue Classification in Infrared Spectroscopy
Deep Learning-Powered Dark-Field Microscopy for Simultaneous Size and Concentration Analysis of Nanoplastics in Water
BayesOpGAN: A Bayesian-Optimized GAN Framework with Fourier-Based Evaluation for Quality-Controlled Raman Spectral Data Augmentation
Probabilistic-Guided Dynamic Fusion Multitask (PDFM) Framework for Mass Spectrometry Classification
Deep Learning-Enhanced Dual-Component Gas Sensor Based on Wavelength Modulation Spectroscopy
Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics
Calibration Transfer of Deep Learning Models among Multiple Raman Spectrometers via Low-Rank Adaptation
Attention Scale Fusion Network for Qualitative and Quantitative Analysis of Serum Tumor Biomarkers Via Label-Free Surface-Enhanced Raman Spectroscopy
Bridging Spectral Gaps: Cross-Device Model Generalization in Blood-Based Infrared Spectroscopy
1
Bioinspired High‐Performance Neuromorphic Devices Enabled by Thienoviologen‐Based Electrochemical Ion Gating
34
Instantaneous urban facade PV potential assessment: An end-to-end deep learning framework for arbitrary planning horizons
Leveraging the capabilities of physics-informed neural networks for channel optimization in PEM fuel cells
PRoFL-IoV: A privacy-preserving and robust federated learning framework for short-term load forecasting in the internet of vehicles
Lean multi-agent deep reinforcement learning for uncertainty handling in the energy management of networked microgrids
Deep reinforcement learning-based multi-objective energy management system for microgrids under flexible energy market
Efficient power system corrective control with adaptive operation condition handling: A GATN-RL based method
PVSAM: Adapting geometric prompts to segment anything model for photovoltaic detection in remote sensing imagery
Adaptive energy scheduling strategy for port logistics systems: A dual-consolidation continual reinforcement learning approach
Deep reinforcement learning for energy-efficient thermal management in 2U air-cooled server systems
Solar photovoltaic assessment with large language model
Real-time proactive control of cascading failures in integrated electricity–gas systems based on a privacy-preserving physics informed deep operator surrogate model
DFDR-NLNet: A dual-frequency differentiated representation non-local network for photovoltaic panel segmentation
Towards physics-guided graph neural network for hydrogen gas explosion simulation at urban scale
A deep-learning multi-source information fusion method for high-precision PV identification: Integration of U2-net image segmentation and multi-spectral screening
Optimizing energy management of smart grid using reinforcement learning aided by surrogate models built using physics-informed neural networks
Learning-augmented hierarchical control for signal-aware safe eco-driving of connected autonomous vehicles
Dynamic ad hoc teaming and mutual distillation for cooperative learning of powertrain control policies for vehicle fleets
Robust deep reinforcement learning for inverter-based volt-var control in partially observable distribution networks
Domain knowledge-enhanced graph reinforcement learning method for Volt/Var control in distribution networks
Privacy-preserving probabilistic wind power forecasting: An adaptive federated approach
Abnormal data recognition method for wind turbines based on alpha channel fusion
Spatiotemporal feature encoded deep learning method for rooftop PV potential assessment
PV Segmenter: A frequency-guided edge-aware network for distributed photovoltaic segmentation in remote sensing imagery
Fine-tuning non-intrusive load monitoring model through user interaction: A practical approach to appliance recognition with limited labeled data
Year-round operational optimization of HVAC systems using hierarchical deep reinforcement learning for enhancing indoor air quality and reducing energy consumption
The impact of deep reinforcement learning-based traffic signal control on Emission reduction in urban Road networks empowered by cooperative vehicle-infrastructure systems
A large-scale ultra-high-resolution segmentation dataset augmentation framework for photovoltaic panels in photovoltaic power plants based on priori knowledge
A multi-module robust method for transient stability assessment against false label injection cyberattacks
Reliability assessment of multi-agent reinforcement learning algorithms for hybrid local electricity market simulation
Short-term voltage stability emergency control strategy pre-formulation for massive operating scenarios via adversarial reinforcement learning
A comprehensive building-wise rooftop photovoltaic system detection in heterogeneous urban and rural areas: application to French territories
A novel deep learning and GIS integrated method for accurate city-scale assessment of building facade solar energy potential
Transfer learning-based prediction and evaluation for ionic osmotic energy conversion under concentration and temperature gradients
A novel multivariable prognostic approach for PEMFC degradation and remaining useful life prediction using random forest and temporal convolutional network
10
Efficient adaptation of physics-informed neural networks for parametric thermal convection using adapter layers
Harnessing radiation-induced fluctuations in spintronic neuromorphic hardware for energy-efficient aerospace computing
Extending channel attention to kernel space for fluorescence microscopy image denoising
Measurement of multiple mechanical properties from multi-dimensional signals in nanosecond laser ablation via PINN
Enhanced rotating neuron reservoir computing with time-delay feedback for chaotic time series prediction
Utilizing machine learning in the three-omega method to predict thermophysical properties with low variation
Realizing weakly supervised learning by physical information for rapidly and accurately predicting three-dimensional weak electromagnetic field of metallic metasurfaces and zero-shot inverse design
Ultrafast stochastic spiking neurons based on field-free magnetic tunnel junction
Retina-inspired spike processing for neuromorphic color recognition
The chronic degeneration mechanism of NbOx-based artificial neurons in the active state
1
Medial temporal lobe lesions reduce visual working memory precision
3
Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival
Multicenter Histology Image Integration and Multiscale Deep Learning Support Machine Learning–Enabled Pediatric Sarcoma Classification
Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma In Situ Upstaging
2
Development of non-spatial grid-like neural codes tracks inference and intelligence
Fragmented replay of very large environments in the hippocampus of bats
2
Transfer learning of GW Bethe–Salpeter equation excitation energies
Molecular dynamics study of catalytic H2/O2 recombination on Pd, Pt, Cu, Ag, and Au nanoclusters using the universal neural network potential
3
Large-scale building dilapidation assessment for high-density cities: An urban visual intelligence approach
AI for Landscape Planning: Assessing Surrounding Contextual Impact on GAN-Generated Green Land Layouts
Machine learning applications for urban geospatial analysis: A review of urban and environmental studies
2
Personalizing explanations in AI-based decisions: The effects of personalization and (Mis)aligning with individual preferences
Facial Emotion Recognition from Feature Loss Media: Human versus Machine Learning Algorithms
16
Neuronal competition shapes the encoding, consolidation, and retrieval of precise spatial memories in mice
Cognitive ethology of nest building in a shell-dwelling cichlid
Whisker-based spatial cognition in mice
Simultaneous path-integration recalibration in head direction and place cells
Rats replay episodic memories in context
Posterior parietal cortex maps progress along routes sharing the same meta-structure but opposite action series
Individual identification of brown bears using pose-aware metric learning
Environmental representations in mouse hippocampal CA1 reflect the predictive structure of navigation
Short-term memory by distributed neural network oscillators in a simple nervous system
Grid cell distortion is associated with increased distance estimation error in polarized environments
Gravity-dependent choice of frame of reference in the posterior parietal cortex
Orbitofrontal cortex spontaneously recovers latent information about outcomes upon devaluation
Auditory object representation in the bat hippocampus
An independent coding scheme for idiothetic distance in the hippocampus
Repulsion of hippocampal representations driven by distinct internal beliefs
Translational differentiation of vertically displaced surfaces by grid cells
1
Risk and Optimal Policies in Bandit Experiments
37
Boiler combustion optimization via offline reinforcement learning with an ensemble high-dimensional environment
Multi-Scale Weighted Fusion Network for Hyperspectral and LiDAR Data to Identify Stressed Vegetation Caused by Natural Gas Storage Microleakages
PI-MBKAN: Physics-Informed Multi Branch Kolmogorov–Arnold Network for high-precision Chiller Power Prediction
Interpretable few-shot prediction of cross-fuel spray dynamics: experiments, empirical correlations and machine learning insights
Energy Saving Coordination Control of Heterogeneous-Speed Platoons at Unsignalized Intersections using Gap-Crossing Virtual Platoon
Thermal performance prediction of energy-efficient roofs via a CNN-LSTM hybrid model optimized by the sparrow search algorithm
Joint Taxi Dispatch and Station Pricing Optimization: A Game-Theoretic Multi-Agent Reinforcement Learning Approach via Alternating Training
Transfer learning-enhanced rapid prediction of heat transfer fields in diverse porous media under Robin boundary conditions
A knowledge-based safe reinforcement learning approach for real-time automatic control in a smart energy hub
A Hard-constrained Physics-Informed Neural Network for Localized Digital Twin Modeling
VoidGAN: A generative adversarial network for high-fidelity void fraction signal generation in nuclear reactor thermal hydraulics
A comprehensive PINN method with hybrid Fourier feature for high-precision natural convection solution
Defect localization and quantification of energy transportation pipeline based on multiscale 1DCNN and BiLSTM with multidimensional attention mechanism
A Dual-Branch Boiler Water-Cooled Wall Three-Dimensional Combustion Parameter Prediction Method Based on Multi-Head Latent Attention Mechanism and Fourier's Heat Flux Density Law (M-F Dual NET)
AI for Dynamic Heat Exchangers Modeling in Vapor Compression Systems with Limited Computational Resources
Hybrid modeling method for reactor coolant loop combining data-driven and physics-based constraints
Adaptive optimization of BESS and grid set points: A model-free framework for energy management under dynamic tariff pricing
Time–frequency heterogeneous feature based physical-informed neural network for internal multimodal water estimation of fuel cells
Self-Attention Networks for Interpretable and Transferable Critical Heat Flux Modeling
Hybrid Deep Learning Framework for High-Precision Prediction of Transient Thermal-Flow in Supercritical LNG Heat Exchangers
Reliable Cross-Domain Lifetime Prediction for Fuel Cells: A Time-Frequency Fusion Transfer Learning Architecture
Hybrid symbolic regression for data-driven discovery: Governing dimensionless numbers in supercritical heat transfer
Multi-agent coordinated control framework for longitudinal–vertical dynamics in electric vehicles with regenerative braking
Low-Power Analog Circuit-Based Physical Neural Networks for Motor Fault Diagnosis
Artificial Intelligence-Driven Forecast of Methane Recovery and CO2 Storage Efficiency for Carbon-Neutral Energy Production from Marine Gas Hydrates
Physics-constrained neural network for chiller guided by reverse Carnot cycle analogy model with extrapolation ability
Modeling real-world driving emissions of a plug-in hybrid electric vehicle by multi-domain adversarial training
A deep reinforcement learning method based on Mamba model with adaptive cross-attention for multi-energy microgrid energy management
Graph-temporal convolutional network for steam heating network simulation considering dynamic characteristics
Modeling of propane thermal cracking process via physics-informed neural networks with process-consistent constraints
An enhanced algorithm for cell-level anomaly segmentation in photovoltaic solar panels using electroluminescence imaging
Flame combustion state recognition in municipal solid waste incineration processes based on image multi-threshold segmentation and DQN-PL model
Data-driven modeling of ultra-supercritical unit based on improved PatchTST network with multi-task balancing
ResNet-MFII-PN for Imbalanced Small-Sample Lithium-ion Battery Fault Diagnosis with a Physics-based model Generative Real-Word Dataset
Deep learning-enhanced global sensitivity analysis for uncertainty quantification in THMC coupled scCO2-EGS
Physics-informed neural network for rapid prediction of the temperature fields in fuel-heat pipe assemblies
Condition monitoring of an oxy-biomass combustion process through flame imaging and incremental deep learning
1
Unsupervised and few-shot segmentation in photovoltaic electroluminescence images for defect detection via a novel enhanced iterative autoencoder with simple implementation
2
Hybrid Deep Learning Framework for Environmental Microplastic Classification: Integrating CNN-Based Spectral Feature Extraction and Transformer Models
Explainable deep learning unveils critical scenarios driving soil cadmium pollution in a coastal industrial city in China: A geospatial AI approach
1
A 2D-digital spectral sensing method for rapid antibiotic detection in water
3
MoreFit
Towards asteroseismology of neutron stars with physics-informed neural networks
Hybrid analytical and neural-network approaches to the non-local short pulse equation
7
SeisMoLLM: Advancing Seismic Monitoring via Cross-Modal Transfer With Pretrained Large Language Model
An Efficient Multi‐Physics GPT‐PINN Framework for Predicting Reactive Solute Transport in Parameterized Groundwater Systems
Generalizable Neural‐Network Parameterization of Mesoscale Eddies in Idealized and Global Ocean Models
Global Search of PKP Precursors With Graph Neural Network: Implications for Scatterers in the Lowermost Mantle
An Interpretable Weather Forecasting Model With Separately‐Learned Dynamics and Physics Neural Networks
An Efficient Lightning Classifier Using a Self‐Supervised Learning Neural Network
Uncovering Deformation Prior to Analogue Megathrust Earthquakes With Explainable Artificial Intelligence
1
Next-generation AI for visually occult pancreatic cancer detection in a low-prevalence setting with longitudinal stability and multi-institutional generalisability
247
JENGA: Object selection and pose estimation for robotic grasping from a stack
Modeling Deception in Multi-Robot Target-Attacker-Defender Game via Deep Reinforcement Learning
Autonomous Surface Selection For Manipulator-Based UV Disinfection In Hospitals Using Foundation Models
3D Gaussian Splatting for Fine-Detailed Surface Reconstruction in Large-Scale Scene
Motivational Cognitive Maps Allow Robot Biomimetic Autonomy
Multitask Reinforcement Learning for Quadcopter Attitude Stabilization and Tracking using Graph Policy
Zero Shot Domain Adaptive Semantic Segmentation by Synthetic Data Generation and Progressive Adaptation
L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model
Novel Data-Driven Repetitive Motion Control Scheme for Redundant Manipulators With Zeroing Neurodynamics
AnyTSR: Any-Scale Thermal Super-Resolution for UAV
QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries
Application of LLM Guided Reinforcement Learning in Formation Control with Collision Avoidance
Heterogeneous Mixed Traffic Control and Coordination
DL-Clip: Online D-Learning with Clipping Operation for Fast Model-Free Stabilizing Control
Pursuit-Evasion for Car-like Robots with Sensor Constraints
LSW-Net: A Spatio-temporal Self-Supervised Framework for 2D LiDAR-Based Environment Perception
Multimodal Point Cloud Registration Method Based on Centerline-Guided Expansion and Contraction: An Optimization Strategy Applied in Bronchial Lumen Map Building
Impact of Static Friction on Sim2Real in Robotic Reinforcement Learning
Consistent Feature Alignment for Cross-Modal Knowledge Distillation in Monocular 3D Object Detection
DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning
PanopticSplatting: End-to-End Panoptic Gaussian Splatting
Exponentially Weighted Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection Model Training in Unmanned Aerial Vehicles Surveillance Scenarios
Directed Spatial Consistency-Based Partial-to-Partial Point Cloud Registration with Deep Graph Matching
Proactive Conflict Area Prediction for Boosting Search-Based Multi-Agent Pathfinding
Chain-of-Imagination for Reliable Instruction Following in Decision Making
Task-Oriented Token Pruning for Efficient Object Detection and Segmentation
Can Real-to-Sim Approaches Capture Dynamic Fabric Behavior for Robotic Fabric Manipulation?
GaussianPU: Color Point Cloud Upsampling via 3D Gaussian Splatting
SN-LiDAR: Semantic Neural Fields for Novel Space-time View LiDAR Synthesis
View-aware Decomposition and Unification for Fast Ground-to-Aerial Person Search
TASeg: Text-aware RGB-T Semantic Segmentation based on Fine-tuning Vision Foundation Models
GPGS: Geometric Priors for 3D Gaussian Splatting in Structural Environments
Awakening Facial Emotional Expressions in Human-Robot
Embodied Domain Adaptation for Object Detection
Learning-based Keypoints Detection with Topological Order on Deformable Linear Objects from Incomplete Point Clouds
A Safety-Adjusted Policy Optimization Algorithm and Application for Obstacle Avoidance in the Quadcopter
Anomaly Knowledge Learning for Patch-Agnostic Defense against Adversarial Patches
MEFusion: Memory-Efficient Data Fusion for Real-Time 3D Reconstruction On Resource-Constrained Devices
Uni-Zipper: A Multi-modal Perception Framework of Deformable Objects with Unpaired Data
Lightweight Temporal Transformer Decomposition for Federated Autonomous Driving
Quaternion Approximate Networks for Enhanced Image Classification and Oriented Object Detection
Emergent Cooperative Strategies for Pursuit-Evasion in Cluttered Environments: A Knowledge-Enhanced Multi-Agent Deep Reinforcement Learning Approach
OptiGrasp: Optimized Grasp Pose Detection Using RGB Images for Warehouse Picking Robots
Rendering Anywhere You See: Renderability Field-guided Gaussian Splatting
Training People to Reward Robots
CLEA: Closed-Loop Embodied Agent for Enhancing Task Execution in Dynamic Environments
ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control
DarkSeg: Infrared-Driven Semantic Segmentation for Garment Grasping Detection in Low-Light Conditions
Pet-NODE Modeling: Embedding Priors and Time-Series Features into Neural ODE
Mastering the Labyrinth Game: Efficient Multimodal Reinforcement Learning with Selective Reconstruction
FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields
Bridging the Reality Gap: Communication-Aware Task Allocation with Multi-Objective Asynchronous Policy Learning
TerraX: Visual Terrain Classification Enhanced by Vision-Language Models
ARC: Robots Adaptive Risk-aware Robust Control via Distributional Reinforcement Learning
Out-of-Distribution Recovery with Object-Centric Keypoint Inverse Policy for Visuomotor Imitation Learning
CoCoL: A Communication Efficient Decentralized Collaborative Learning Method for Multi-Robot Systems
Improving 6D Object Pose Estimation of Metallic Household and Industry Objects
ToSA: Token Merging with Spatial Awareness
Dynamic Residual Safe Reinforcement Learning for Multi-Agent Safety-Critical Scenarios Decision-Making
Distributional Decision Transformer: Risk-Sensitive Offline RL via Quantile-Based Critics and Stochastic Return
Knowledge Distillation for Semantic Segmentation: A Label Space Unification Approach
Sensing Differently: Unifying Vision, Language, Posture and Tactile in Robotic Perception
Uncertainty-aware Planning with Inaccurate Models for Robotized Liquid Handling
MoE-Loco: Mixture of Experts for Multitask Locomotion
Symmetry-Guided Multi-Agent Inverse Reinforcement Learning
Planning under Uncertainty from Behaviour Trees
BaTCAVe: Trustworthy Explanations for Robot Behaviors
Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models
PlanarMesh: Building Compact 3D Meshes from LiDAR using Incremental Adaptive Resolution Reconstruction
Closing the intent-to-behavior gap via Fulfillment Priority Logic
Fast Policy: Accelerating Visuomotor Policies without Re-training
Physics-informed Neural Motion Planning via Domain Decomposition in Large Environments
Plane detection and ranking via model information optimisation
SemP-NBV: Semantic-Aware Predictive Next-Best-View for Autonomous Plant 3D Reconstruction
Ray Visual Odometry
Improved 3D Point-Line Mapping Regression for Camera Relocalization
Decision Transformer-Based Drone Trajectory Planning with Dynamic Safety–Efficiency Trade-Offs
Registration After Completion: Towards Sparse and Partial Point Set Registration for Computer-Assisted Orthopedic Surgery
FloPE: Flower Pose Estimation for Precision Pollination
Industrial-Grade Sensor Simulation via Gaussian Splatting: A Modular Framework for Scalable Editing and Full-Stack Validation
Refined Policy Distillation: From VLA Generalists to RL Experts
Omni-Scan: Creating Visually-Accurate Digital Twin Object Models Using a Bimanual Robot with Handover and Gaussian Splat Merging
Policy Learning from Large Vision-Language Model Feedback Without Reward Modeling
SheepDA-YOLO: Cross-Domain Adaptive Mean Teacher with Dual-Path Decoupling for Sheep Behavior Recognition
Modeling Human-like Driving Behavior Based on Maximum Entropy Deep Inverse Reinforcement Learning
Memory-Efficient Real Time Many-Class 3D Metric-Semantic Mapping
Towards Surgical Task Automation: Actor-Critic Models Meet Self-Supervised Imitation Learning*
HFSENet: Hierarchical Fusion Semantic Enhancement Network for RGB-T Semantic Segmentation in Annealing Furnace Operation Area
Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
Safe Navigation in Uncertain Crowded Environments Using Risk Adaptive CVaR Barrier Functions
An Evidence-Based Tri-Branch Cross-Pseudo Supervision Method for Semi-Supervised Medical Image Segmentation
Temporal-Spatial Representation Fusion for Dexterous Manipulation Learning with Unpaired Visual-Action Data
Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control
Bidirectional Task–Motion Planning Based on Hierarchical Reinforcement Learning for Strategic Confrontation
SEI3D: CPU-only 3D Object Tracking Fusing Sparse-flow-filtered Edge and Interior Alignment
Embodied Escaping: End-to-End Reinforcement Learning for Robot Navigation in Narrow Environment
3DWSNet: A Novel 3D Wavelet Spiking Neural Network for Event-based Action Recognition
TEM3-Learning: Time-Efficient Multimodal Multi-Task Learning for Advanced Assistive Driving
Transferable Latent-To-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots
Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds
Learning Point Correspondences In Radar 3D Point Clouds For Radar-Inertial Odometry
TACS-Graphs: Traversability-Aware Consistent Scene Graphs for Ground Robot Localization and Mapping
Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning
EFCWM-Mamba-YOLO: Real-Time Underwater Object Detection with Adaptive Feature Representation and Domain Adaptation
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation
DualCLIP: Bridging 3D Geometry and Multimodal Semantics for Robotic Perception
ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models
CG-3DGS: Complexity-Guided 3D Gaussian Splatting for High-Fidelity Surgical Scene Reconstruction
Revisiting 3D Curve to Surface Registration using Tangent and Normal Vectors for Computer-Assisted Orthopedic Surgery
Correspondence-Free Multiview Point Cloud Registration via Depth-Guided Joint Optimisation
Contrastive Autoencoder for Robust State Modelling of Soft Robots in Incomplete and Noisy Environments
Bounding Distributional Shifts in World Modeling through Novelty Detection
R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model
VMTS: Vision-Assisted Teacher-Student Reinforcement Learning for Multi-Terrain Locomotion in Bipedal Robots
CasPoinTr: Point Cloud Completion with Cascaded Networks and Knowledge Distillation
MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games
DexPour: Effective and Efficient High-DoF Robotic Hand Liquid Pouring via Hierarchical Reward with Approximated Proxy Abstraction
Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications
Real-World Offline Reinforcement Learning from Vision Language Model Feedback
Decentralized but Not Compromised: Modular Architecture with Refined Observation for Multi-Agent Model-Based Reinforcement Learning
G3 CN: Gaussian Topology Refinement Gated Graph Convolutional Network for Skeleton-Based Action Recognition
PlugAndFilter: Architecture Agnostic Booster for Lightweight Registration
Convex Hull-based Algebraic Constraint for Visual Quadric SLAM
MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network
MAER-Nav: Bidirectional Motion Learning Through Mirror-Augmented Experience Replay for Robot Navigation
Jacobian Exploratory Dual-Phase Reinforcement Learning for Dynamic Endoluminal Navigation of Deformable Continuum Robots
TERL: Large-Scale Multi-Target Encirclement Using Transformer-Enhanced Reinforcement Learning
Measuring Uncertainty in Shape Completion to Improve Grasp Quality
RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks
Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning
GS-SDF: LiDAR-Augmented Gaussian Splatting and Neural SDF for Geometrically Consistent Rendering and Reconstruction
LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots
SAFormer: Spatially Adaptive Transformer for Efficient and Multi-Resolution Occupancy Prediction
SAC(λ): Efficient Reinforcement Learning for Sparse-Reward Autonomous Car Racing using Imperfect Demonstrations
Adaptive Wall-Following Control for Unmanned Ground Vehicles Using Spiking Neural Networks
ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights
AccidentX: A Large-Scale Multimodal BEV Dataset for Traffic Accident Analysis and Prevention
THE-SEAN: A Heart Rate Variation-Inspired Temporally High-Order Event-Based Visual Odometry with Self-Supervised Spiking Event Accumulation Networks
Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning
Learning-Based Motion Controller for Reconfigurable Microswarms
Heterogeneous Multi-Agent Learning in Isaac Lab: Scalable Simulation for Robotic Collaboration
Multi-UAV Formation Control with Static and Dynamic Obstacle Avoidance via Reinforcement Learning
Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning
Physics-Informed Residual Network for Magnetic Dipole Model Correction and High-Accuracy Localization
RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation
Automated 3D-GS Registration and Fusion via Skeleton Alignment and Gaussian-Adaptive Features
DEEP-SEA: Deep-Learning Enhancement for Environmental Perception in Submerged Aquatics
Lifelong Morphology Learning for Deformable Embodied Agents
Context-Aware Multi-Agent Trajectory Transformer
Distilling 3D distinctive local descriptors for 6D pose estimation
TRACE: A Self-Improving Framework for Robot Behavior Forecasting with Vision-Language Models
Category-level Meta-learned NeRF Priors for Efficient Object Mapping
PD-VLA: Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decoding
Robust and High-Fidelity 3D Gaussian Splatting: Fusing Pose Priors and Geometry Constraints for Texture-Deficient Outdoor Scenes
Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning
Occlusion-Aware 6D Pose Estimation with Visual Observation Guided Diffusion Model
Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation
MuSPaCSA: Multi-Scale Parallel-Channel Self-Attention Network for Point Cloud Classification and Segmentation
TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes
Decentralized Multi-robot Navigation Policy with Enhanced Security Using Graph GRU Policy Network
Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters
Context-Aware Deep Lagrangian Networks for Model Predictive Control
Dual-Modal Magnetic Skin for Robust Tactile Sensing
Class-Aware PillarMix: Can Mixed Sample Data Augmentation Enhance 3D Object Detection with Radar Point Clouds?
Robust Maritime Object Detection under Adverse Conditions via Joint Semantic Learning without Extra Computational Overhead
GaussianGraph: 3D Gaussian-Based Scene Graph Generation for Open-World Scene Understanding
All-in-one Defensive Network (ADNet): Trustworthy Segmentation of Complex Maritime Environments for Unmanned Surface Vessels (USVs)
WFDA: Wavelet-Based Frequency Decomposition and Aggregation for Underwater Object Detection
SPLATART: Articulated Gaussian Splatting with Estimated Object Structure
Estimating Continuum Robot Shape under External Loading using spatiotemporal Neural Networks
Risk-Aware Reinforcement Learning with Group Opinion for Autonomous Driving
RSSS: Robust Structural Semantic Segmentation for Autonomous Drone Delivery to Door
Annotation-Free Curb Detection Leveraging Altitude Difference Image
OpenFusion++: An Open-vocabulary Real-time Scene Understanding System
M2H: Multi-Task Learning with Efficient Window-Based Cross-Task Attention for Monocular Spatial Perception
Robust Reinforcement Learning based on Momentum Adversarial Training
PC2P: Multi-Agent Path Finding via Personalized-Enhanced Communication and Crowd Perception
Adversarial Attacks and Detection in Visual Place Recognition for Safer Robot Navigation
A Multi-Task Learning System for Composites Defect Segmentation and Classification with TacRoller
DroneKey: Drone 3D Pose Estimation in Image Sequences using Gated Key-representation and Pose-adaptive Learning
OpenGS-Fusion: Open-Vocabulary Dense Mapping with Hybrid 3D Gaussian Splatting for Refined Object-Level Understanding
TACO: General Acrobatic Flight Control via Target-and-Command-Oriented Reinforcement Learning
DCT-Diffusion: Depth Completion for Transparent Objects with Diffusion Denoising Approach
GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning
M-Predictive Spliner: Enabling Spatiotemporal Multi-Opponent Overtaking for Autonomous Racing
Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning
Integrating Offline Pre-Training with Online Fine-Tuning: A Reinforcement Learning Approach for Robot Social Navigation
ETA: Learning Optical Flow with Efficient Temporal Attention
Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors
RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories
SLTNet: Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning
Towards Safe Reinforcement Learning with Reduced Conservativeness: A Case Study on Drone Flight Control
MIVG: Mode-Isolated Velocity-Guide Algorithm for Quadratic Optimization-Based Obstacle Avoidance
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning
Label-Efficient LiDAR Panoptic Segmentation
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks
RA-DP: Rapid Adaptive Diffusion Policy for Training-Free High-frequency Robotics Replanning
MV2: A Large-Scale 360-degree Multi-View Maritime Vision Dataset for Object Detection and Segmentation
Successor Features for Transfer in Alternating Markov Games
PrefMMT: Modeling Human Preferences in Preference-based Reinforcement Learning with Multimodal Transformers
CLGA: A Collaborative LLM Framework for Dynamic Goal Assignment in Multi-Robot Systems
From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-in-the-Loop Reinforcement Learning
Demonstration-Enhanced Adaptable Multi-Objective Robot Navigation
LR2Depth: Large-Region Aggregation at Low Resolution for Efficient Monocular Depth Estimation
CueLearner: Bootstrapping and local policy adaptation from relative feedback
ACGD: Visual Multitask Policy Learning with Asymmetric Critic Guided Distillation
SCORE: Saturated Consensus Relocalization in Semantic Line Maps
Vision-Guided Loco-Manipulation with a Snake Robot
The Common Objects Underwater (COU) Dataset for Robust Underwater Object Detection
MemGS: Memory-Efficient Gaussian Splatting for Real-Time SLAM
SIME: Enhancing Policy Self-Improvement with Modal-level Exploration
GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning
TeX-NeRF: Neural Radiance Fields for Novel HADAR View Synthesis
DPGLA: Bridging the Gap between Synthetic and Real Data for Unsupervised Domain Adaptation in 3D LiDAR Semantic Segmentation
MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning
YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning
MambaGCN: Synergistic Integration of Graph Convolutional Networks and State Space Models for Point Cloud Processing
Distilling Realizable Students from Unrealizable Teachers
Cost Function Estimation Using Inverse Reinforcement Learning with Minimal Observations
DEXTER-LLM: Dynamic and Explainable Coordination of Multi-Robot Systems in Unknown Environments via Large Language Models
SENIOR: Efficient Query Selection and Preference-Guided Exploration in Preference-based Reinforcement Learning
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
FCRF: Flexible Constructivism Reflection for Long-Horizon Robotic Task Planning with Large Language Models
M3PO: Massively Multi-Task Model-Based Policy Optimization
Real-time Iteration Scheme for Diffusion Policy
Repetitive Motion Control for Redundant Manipulator under False Data Injection Attacks *
Self-supervised 3D Reconstruction of Tibia and Fibula from Biplanar X-rays
Transformer-Based Multi-Agent Reinforcement Learning Method With Credit-Oriented Strategy Differentiation
Splatter Joint: 3D Gaussian Splatting for Articulated Objects
TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion
DPR-Splat: Depth and Pose Refinement with Sparse-View 3D Gaussian Splatting for Novel View Synthesis
KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning
Hybrid Transformer-Mamba Model for 3D Semantic Segmentation
TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation
Adaptive Large-Scale Novel View Image Synthesis for Autonomous Driving Datasets
ALVO: Adaptive Learning with Velocity Obstacles for UGV Navigation in Dynamic Scenes
Learning to Solve the Multi-Agent Task Assignment Problem for Automated Data Centers
Mesh-Learner: Texturing Mesh with Spherical Harmonics
FlowNav: Combining Flow Matching and Depth Priors for Efficient Navigation
Dynamic Risk-Aware MPPI for Mobile Robots in Crowds via Efficient Monte Carlo Approximations
FLAME: A Federated Learning Benchmark for Robotic Manipulation
Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
On learning racing policies with reinforcement learning
3
A Fully Automated Multistage Deep Learning System for Lenke Classification: Enhanced Diagnostic Precision in Adolescent Idiopathic Scoliosis.
Deep Learning Model for Differentiating Between Neoplastic Pathologic Fracture and Nonpathologic Fracture Using Hip Radiographs.
Enhanced Detection, Using Deep Learning Technology, of Medial Meniscal Posterior Horn Ramp Lesions in Patients with ACL Injury.
9
Systematic assessment and improvement for the intelligent municipal solid waste sorter
Comparative assessment of manual and UAV-based deep learning approaches for beach litter
3D excitation-emission matrix (EEM) fluorescence-based efficient detection of cosmetics health risks: comparative AI algorithm and eXtreme Gradient Boosting (XGBoost) implementations
Deep learning-based plastic classification using spectroscopic data
Towards sustainable construction: A cost-effective framework for bird monitoring from on-site collected videos leveraging deep active learning and synthetic training data
Accuracy evaluation of load distribution in engineering vehicles under extreme environments
Learning from new products: A robust end-of-life object detection model for robotic disassembly using the dual constraints of anchors and corners
A novel machine learning-based method for identifying Industrial Symbiosis opportunities
A Fuzzy-Refined Neural Network Architecture for Rapid Assessment of Seawater Pollution by Hyperspectral Imaging
1
PlumeBed: A Multispectral Satellite Methane Plume Detector Enabled by Transfer Learning of a Multi‐Source Hyperspectral Data Set
9
Three‐Dimensional Crustal Deformation Analysis Using Physics‐Informed Deep Learning
Classification of Seismic Events in the Mainland of China Based on Spectrograms and Model Interpretability
Leveraging Local Depth Phases for Improved Hypocenter Analysis and Discovery of a Thick Seismogenic Zone in Ridgecrest, California
DeepGEM-EGF: A Bayesian Strategy for Joint Estimates of Source-Time Functions and Empirical Green's Functions
Earthquake Rupture Dynamics From Graph Neural Networks
Rapid Probabilistic Seismic Tomography Using Graph Mixture Density Networks
An Ensemble Deep Learning‐Based Acoustic Emission Picking Model Reveals Migratory Foreshocks on Large‐Scale Laboratory Fault
Physics‐Informed Deep Learning for Estimating the Spatial Distribution of Frictional Parameters in Slow Slip Regions
RuptureNet2D, a Deep Neural Network Based Surrogate for Dynamic Earthquake Rupture Simulation in Two Dimensions
8
Learning the inverse Ryu-Takayanagi formula with transformers
dN/dx reconstruction with deep learning for high-granularity TPCs
NuGraph2 with context-aware inputs: physics-inspired improvements in semantic segmentation
Learnable cut flow for high energy physics
Reinforcement learning-based statistical search strategy for an axion model from flavor
Improving the performance of weak supervision searches using data augmentation
Machine Learning gravity compactifications on negatively curved manifolds
TRANSIT your events into a new mass: fast background interpolation for weakly-supervised anomaly searches
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Novelty Discrimination of Configural Objects in the Perirhinal and Anterolateral Entorhinal Cortices Is Impacted by Aging
Spatiotemporally distinct dopamine domains in the hippocampus
Sparse spatial scaffolding for visual working memory
Differential coding of associative memory information in the macaque lateral prefrontal cortex and hippocampus
Novelty, Ecological Relevance, and Sexual Receptivity Modulate Neuronal Interactions between the Amygdala and Hippocampus
The Emergence of New Schema Memory Requires Sleep
Distinct mechanisms for panoramic and landmark-based view integration in human place-selective cortex
Sharpened visual memory representations are reflected in inferotemporal cortex
Effects of Novelty and Temporal Distance on Postexperience Spike Patterns of Hippocampal Place Cells Encoding Multiple Environments
Hippocampal ripples during offline periods predict human motor sequence learning
Hippocampal drift rate reflects the temporal organization of memories
A Neural Model for V1 That Incorporates Dendritic Nonlinearities and Backpropagating Action Potentials
Uncovering the role of the human hippocampus in procedural motor learning: Insights from implicit sensorimotor adaptation
A neural compass in the human brain during naturalistic virtual navigation
Hippocampal LFP responses during pigeon homing flight in outdoors
Hippocampal Sharp-Wave Ripples Decrease during Physical Actions Including Consummatory Behavior in Immobile Rodents
4
Comparative and complementary diagnostic value of dermatoscopy and clinical close-up photography in skin cancer diagnosis: A study from the MILK10k dataset
Comparing Dermatologist and Artificial Intelligence Heat Maps in Dermoscopic Image Analysis via Eye Tracking
In vivo Cutaneous Confocal Microscopy for Diagnosing the Lentigo Maligna Spectrum: A Multicentre Prospective Study and Proposal of a Lentigo Maligna Spectrum Score
Reflectance confocal microscopy terminology for non-melanocytic skin lesions: A Delphi consensus of experts
2
FragNet: A Graph Neural Network for Molecular Property Prediction with Four Levels of Interpretability
Two-Stage Machine Learning Framework for Accurate Discrimination of Isomers and Very-Similar Molecules on Surfaces
4
Model privacy: a unified framework for understanding model stealing attacks and defences
Federated feature selection with false discovery rate control
Pretraining and the lasso
Robust angle-based transfer learning in high dimensions
1
MacroSimGNN: Efficient and Accurate Prediction of Macromolecule Pairwise Similarity via A Graph Neural Network
2
Single-cell resolution spatial transcriptomic signature of the retrosplenial cortex during memory consolidation
A dorsal subiculum-medial mammillary body pathway for spatial memory
1
Disk-like galaxies at 4 ≲ z ≲ 7.7: JWST/NIRCam morphologies revealed by denoising VAE-GCNN classification
9
Metasurface-Based Wavelength-Multiplexed Diffractive Neural Networks for Multilabel Intelligent Vision
Physics-Informed Graph Neural Networks for Predicting Deformation in Disordered Fibrous Materials
Pareto-Optimal Experimentation: Human-Guided Multi-Objective Bayesian Optimization in Scanning Probe Microscopy
Ovonic Switches Enable Energy-Efficient Dendrite-like Computing
Dendritic Computing with Multigate Ferroelectric Field-Effect Transistors
In-Sensor Compressed Imaging with Reconstruction-Free Recognition via Ferroelectric Photodiodes
Symmetric n/p Schottky Barrier Modulation for Precision-Configurable Neural Network
Artificial Axon with Dendritic-like Plasticity by Biomimetic Interface Engineering of Anisotropic Two-Dimensional Tellurium
Low Power Ternary State Channel Computing-in-Memory Transistor for Federated Learning
17
Integrated photonic neural network with on-chip backpropagation training
Compact deep neural network models of the visual cortex
Clinical-grade autonomous cytopathology through whole-slide edge tomography
Months-long stability of the head-direction system
Predictive coding of reward in the hippocampus
Distinct neuronal populations in the human brain combine content and context
Fair human-centric image dataset for ethical AI benchmarking
Discovering state-of-the-art reinforcement learning algorithms
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
Analog optical computer for AI inference and combinatorial optimization
Optical generative models
Hippocampal representations drift in stable multisensory environments
Discovering cognitive strategies with tiny recurrent neural networks
A fully open AI foundation model applied to chest radiography
Remote activation of place codes by gaze in a highly visual animal
Systems consolidation reorganizes hippocampal engram circuitry
Light-microscopy-based connectomic reconstruction of mammalian brain tissue
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Single-neuron network topology governs neural computation and learning in primate cortex
Distinct CA3 inputs differentially shape the learning-dependent evolution of right CA1 spatial maps
Evolutionarily old brainstem neurons are required for the control of selective spatial attention
Broad spectrum structure discovery in large-scale higher-order networks
FunDiff: diffusion models over function spaces for physics-informed generative modeling
Trustworthy tree-based machine learning by MoS2 flash-based analog content-addressable memory with inherent soft boundaries
Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response
Programmable Three-dimensional Photonic Neural Network Chip
Developmental emergence of sparse and structured synaptic connectivity in the hippocampal CA3 memory circuit
Divergent neural representations of space and task between physical and virtual navigation in macaques
Accelerating spiking neural networks with photonic reconfigurable devices
Spinal cord structural and functional architecture and its shared organization with the brain across the adult lifespan
Temporal-Spatial Fusion Vision Hardware Enables Streamlined In-Sensor Computing for Dynamic Scenes
A multimodal approach for visualizing and identifying electrophysiological cell types in vivo
Boosting pathology foundation models via few-shot prompt-tuning for rare cancer subtyping
Rapid formation of non-spatial hippocampal representations consistent with behavioral timescale synaptic plasticity is modulated by entorhinal input
A conversational multi-agent AI system for automated plant phenotyping
Human-like cognitive generalization for large models via mental representation-guided supervision
Single-molecule neuromorphic device with aJ-level power consumption per switching
Exploring how deep learning decodes anomalous diffusion via Grad-CAM
Supernetwork-based efficient mapping of deep learning applications to mixed-precision hardware using model adaptation
NEOSTI - a neuromorphic electronic-opto spatial-temporal hybrid image sensor
A highly energy-efficient multi-core neuromorphic architecture for training deep spiking neural networks
Anterior and posterior retrosplenial cortex form distinct visuospatial circuits in the mouse
Nanoscale exchange-bias magnetic tunnel junctions enabled memristive synapse and leaky-integrate-fire neuron for neuromorphic computing
International testing and refinement of AI algorithms predicting acute leukemia subtypes from routine laboratory data
Data-In-situ Computing with One-Pixel-Multiple-Memristor Architecture for Neuromorphic Sequential Vision
Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks
Local lateral connectivity is sufficient for replicating cortex-like topographical organization in deep neural networks
All-optical logic processing unit using Kerr nonlinearity of MXene
Learning earthquake ground motions via conditional generative modeling
Directional dynamics in the entorhinal cortex of male mice driven by behavioral constraints
Getting robots back on track by reconstituting control in unexpected situations with online learning
Fragmentomic liquid biopsy enables early breast cancer detection, molecular subtyping and lymph node assessment
Rejoining fragmented ancient bamboo slips with physics-driven deep learning
Inverse-designed nanophotonic neural network accelerators for ultra-compact optical computing
Understanding pre-training data effects in retinal foundation models using two large fundus cohorts
Physical echo state network based on the nonlinearity and dynamic response of ambipolar heterostructure transistors
Auditing unauthorized training data from AI generated content using information isotopes
Brain-inspired synaptic transistors for in-situ spiking reinforcement learning with eligibility trace
Computing-in-memory architecture for Kolmogorov-Arnold networks based on tunable Gaussian-like memory cells
Ultrafast visual perception beyond human capabilities enabled by motion analysis using synaptic transistors
Persistent representation of a prior schema in the orbitofrontal cortex facilitates learning of a conflicting schema
Transfer learning in DeepLC improves LC retention time prediction across substantially different modifications and setups
Homogeneous integration of two-dimensional material-based optoelectronic neurons and ferroelectric synapses for neuromorphic vision
Neuromorphic photonic computing with an electro-optic analog memory
Closed-form feedback-free learning with forward projection
Large reasoning models are autonomous jailbreak agents
Machine learning for microscopy data analytics targeting real-time optical characterization of semiconductor nanocrystals
Computational single-neuron mechanisms of visual object coding in the human temporal lobe
Recurrent connections facilitate occluded object recognition by explaining-away
Hierarchical maturation of structural brain connectomes from birth to childhood
Model-agnostic linear-memory online learning in spiking neural networks
Physical neural networks using sharpness-aware training
In-memory analog computing for non-negative matrix factorization
A physics-informed graph neural network conserving linear and angular momentum for dynamical systems
A reconfigurable photosensitive split-floating-gate memory for neuromorphic computing and nonlinear activation
Pruning random resistive memory for optimizing analog AI
Compute-in-memory implementation of state space models for event sequence processing
NTAC: Neuronal type assignment from connectivity
Connectivity of the adult human brain with sequential neurogenesis of circuits and transcriptomics signatures
In-sensor analog optoelectronic processing of concurrent event and memory signals for dynamic vision sensing
Backpropagation through space, time and the brain
Privacy-preserving collaborative battery fault warning for massive electric vehicles by heterogeneous data from charging stations
Distributionally robust free energy principle for decision-making
Time or distance encoding by hippocampal neurons via heterogeneous ramping rates
Knowledge-guided adaptation of pathology foundation models effectively improves cross-domain generalization and demographic fairness
Scaling deep learning for material imaging with a pseudo 3D model for domain transfer
In-sensor image memorization, low-level processing, and high-level computing by using above-bandgap photovoltages
Discovery of the reward function for embodied reinforcement learning agents
Large-scale generative tumor synthesis in computed tomography images for improving tumor recognition
Mammo-AGE: deep learning estimation of breast age from mammograms
A multi-agent reinforcement learning framework for exploring dominant strategies in iterated and evolutionary games
Sufficient is better than optimal for training neural networks
Graded encoding of spatial novelty scales in the human brain
Adaptive compression framework for giga-pixel whole slide images
A lung CT vision foundation model facilitating disease diagnosis and medical imaging
SINDy-RL for interpretable and efficient model-based reinforcement learning
A Benchmark for Breast Cancer Screening and Diagnosis in Mammogram Visual Question Answering
Cellular and molecular associations with intrinsic brain organization
A deterministic neuromorphic architecture with scalable time synchronization
Multilayer nonlinear diffraction neural networks with programmable and fast ReLU activation function
Efficient event-based delay learning in spiking neural networks
Hundred-layer photonic deep learning
A meta-interactive neural network for solving time-varying quadratic programming problems
Generative discovery of partial differential equations by learning from math handbooks
Gradient descent in materia through homodyne gradient extraction
Replay without sharp wave ripples in a spatial memory task
Distinctive roles of left and right entorhinal cortex in path integration via a non-invasive stimulation study
Adaptable graph region for optimizing performance in dynamic system long-term forecasting via time-aware expert
Neuromorphic computing paradigms enhance robustness through spiking neural networks
Dynamically shifting from compositional to conjunctive brain representations supports cognitive task learning
A software platform for real-time and adaptive neuroscience experiments
Memristor-based adaptive analog-to-digital conversion for efficient and accurate compute-in-memory
The head-direction signal is generated from two types of head direction cells in brainstem nuclei
Luminescent nanofibers for human skin textures photocopying
ClairS-TO: a deep-learning method for long-read tumor-only somatic small variant calling
Hippocampus supports multi-task reinforcement learning under partial observability
Bayesian continual learning and forgetting in neural networks
Automatic network structure discovery of physics informed neural networks via knowledge distillation
Large-scale crossbar arrays based on three-terminal MoS2 memtransistors
Multi-view deep learning framework for the detection of chest X-rays compatible with pediatric pulmonary tuberculosis
Addressing data heterogeneity in distributed medical imaging with heterosync learning
Explore brain-inspired machine intelligence for connecting dots on graphs through holographic blueprint of oscillatory synchronization
Modeling macroscopic brain dynamics with brain-inspired computing architecture
Categorical and phenotypic image synthetic learning as an alternative to federated learning
Entorhinal grid-like codes for visual space during memory formation
A frugal Spiking Neural Network for unsupervised multivariate temporal pattern classification and multichannel spike sorting
Dimensionless learning based on information
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer
Predictive Coding Light
Bioinspired high-order in-sensor spatiotemporal enhancement in van der Waals optoelectronic neuromorphic electronics
Transfer learning via distributed brain recordings enables reliable speech decoding
Unifying machine learning and interpolation theory via interpolating neural networks
Efficient and robust temporal processing with neural oscillations modulated spiking neural networks
Hippocampal-cortical interactions in the consolidation of social memory
A predictive approach to enhance time-series forecasting
Uncertainty-aware ensemble of foundation models differentiates glioblastoma from its mimics
Constructing artificial neurons with functional parameters comprehensively matching biological values
The spatial complexity of optical computing: toward space-efficient design
One-shot learning for solution operators of partial differential equations
Development of deep learning-based narrow-band imaging endocytoscopic classification for predicting colorectal lesions from a retrospective study
Flexynesis: A deep learning toolkit for bulk multi-omics data integration for precision oncology and beyond
DelGrad: exact event-based gradients for training delays and weights on spiking neuromorphic hardware
Covariant spatio-temporal receptive fields for spiking neural networks
Generative emergence of non-local representations in the hippocampus
An ion-electronic hybrid artificial neuron with a widely tunable frequency
Incentivizing inclusive contributions in model sharing markets
HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer
FedECA: federated external control arms for causal inference with time-to-event data in distributed settings
Adaptive spatial-temporal information processing based on in-memory attention-inspired devices
Digital-analog hybrid matrix multiplication processor for optical neural networks
Reconciling flexibility and efficiency: medial entorhinal cortex represents a compositional cognitive map
Artificial transneurons emulate neuronal activity in different areas of brain cortex
A multimodal dataset for precision oncology in head and neck cancer
A multisynaptic spiking neuron for simultaneously encoding spatiotemporal dynamics
Temporal coding carries more stable cortical visual representations than firing rate over time
Spiking dynamics of individual neurons reflect changes in the structure and function of neuronal networks
Detecting deformation mechanisms of metals from acoustic emission signals through knowledge-driven unsupervised learning
Neurophysiological evidence of human hippocampal longitudinal differentiation in associative memory
Training a high-performance retinal foundation model with half-the-data and 400 times less compute
Taming the chaos gently: a predictive alignment learning rule in recurrent neural networks
A data-to-forecast machine learning system for global weather
Generating brain-wide connectome using synthetic axonal morphologies
Generative AI enables medical image segmentation in ultra low-data regimes
A neuromorphic processor with on-chip learning for beyond-CMOS device integration
Direct entorhinal control of CA1 temporal coding
On convex decision regions in deep network representations
Hippocampal ripples predict motor learning during brief rest breaks in humans
Uncovering memorization effect in the presence of spurious correlations
Self-Contrastive Forward-Forward algorithm
Parametric matrix models
Multi-representation domain attentive contrastive learning based unsupervised automatic modulation recognition
Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity
Experimental demonstration of third-order memristor-based artificial sensory nervous system for neuro-inspired robotics
Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides
A near-threshold memristive computing-in-memory engine for edge intelligence
Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning
Deep learning quantifies pathologists’ visual patterns for whole slide image diagnosis
Movie-watching evokes ripple-like activity within events and at event boundaries
Transferable polychromatic optical encoder for neural networks
Advancing spatio-temporal processing through adaptation in spiking neural networks
Predictive goal coding by dentate gyrus somatostatin-expressing interneurons in male mice
Ventral hippocampus neurons encode meal-related memory
An end-to-end attention-based approach for learning on graphs
Voltage-controlled magnetoelectric devices for neuromorphic diffusion process
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
GraftIQ: Hybrid multi-class neural network integrating clinical insight for multi-outcome prediction in liver transplant recipients
Generating dermatopathology reports from gigapixel whole slide images with HistoGPT
Memristive Bellman solver for decision-making
New information triggers prospective codes to adapt for flexible navigation
A physics-informed and data-driven framework for robotic welding in manufacturing
Revealing 3D microanatomical structures of unlabeled thick cancer tissues using holotomography and virtual HE staining
Parallelizing analog in-sensor visual processing with arrays of gate-tunable silicon photodetectors
Optical neural engine for solving scientific partial differential equations
Lightweight error-tolerant edge detection using memristor-enabled stochastic computing
Improving AI models for rare thyroid cancer subtype by text guided diffusion models
Two-dimensional materials based two-transistor-two-resistor synaptic kernel for efficient neuromorphic computing
CMOS-integrated organic neuromorphic imagers for high-resolution dual-modal imaging
Lightweight deep learning for real-time road distress detection on mobile devices
GelGenie: an AI-powered framework for gel electrophoresis image analysis
4
Spatial contexts with reliable neural representations support reinstatement of subsequently placed objects
Humans and neural networks show similar patterns of transfer and interference during continual learning
Unattended working memory items are coded by persistent activity in human medial temporal lobe neurons
Capturing the complexity of human strategic decision-making with machine learning
2
An agentic framework for autonomous scientific discovery in cancer pathology
A multimodal vision foundation model for clinical dermatology
6
LazySlide: accessible and interoperable whole-slide image analysis
Deep Imputation for Skeleton data (DISK) for behavioral science
DeepCor: denoising fMRI data with contrastive autoencoders
Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics
Whole-brain reconstruction of fiber tracts based on cytoarchitectonic organization
Reconstruction of a connectome of single neurons in mouse brains by cross-validating multi-scale multi-modality data
3
Protonic nickelate device networks for spatiotemporal neuromorphic computing
High-order dynamics in an ultra-adaptive neuromorphic vision device
Event-driven retinomorphic photodiode with bio-plausible temporal dynamics
14
A septo–entorhinal GABAergic pathway that enables switching between episodic memories
The prefrontal cortex controls memory organization in the hippocampus
Entorhinal cortex represents task-relevant remote locations independently of CA1
The dentate gyrus efficiently converges LEC and MEC inputs into multimodal, highly specific and reliable environmental representations
Competitive interactions shape mammalian brain network dynamics and computation
Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex
A generalizable foundation model for analysis of human brain MRI
Infinite hidden Markov models can dissect the complexities of learning
Prediction of neural activity in connectome-constrained recurrent networks
Grid cells accurately track movement during path integration-based navigation despite switching reference frames
Allothetic and idiothetic spatial cues control the multiplexed theta phase coding of place cells
A flexible hippocampal population code for experience relative to reward
Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex
Formation of an expanding memory representation in the hippocampus
13
Infant learning forms lasting memory schemas that influence adult behavior
Distinct brain regions map olfactory and visual spaces
Linking neural manifolds to circuit structure in recurrent networks
Regional specialization in prefrontal cortex manifests in the reliability of task progression codes
Identification of an engram ensemble mediating memory forgetting in the dentate gyrus
Spontaneous behavior is a succession of self-directed tasks
Exploiting correlations across trials and behavioral sessions to improve neural decoding
Human hippocampal ripples align new experiences with a grid-like schema
Direction-selective laterodorsal thalamic nucleus encodes optic flow and turning in spatial navigation
Locus coeruleus activation “resets” hippocampal event representations and separates adjacent memories
Representations of stimulus features in the ventral hippocampus
Dissecting human cortical similarity networks across the lifespan
The estrous cycle modulates hippocampal spine dynamics, dendritic processing, and spatial coding
8
Neural population dynamics and temporal context cells in macaque medial parietal cortex support temporal order memory
Action information is integrated into entorhinal representations of conceptual space and is reflected in eye movements
BehaveAI enables rapid detection and classification of objects and behavior from motion
Neural traces of composite tasks in complex task representation in the human brain reflects learning performance
Efficient and reliable spike sorting from neural recordings with UMAP-based unsupervised nonlinear dimensionality reduction
Coordinated hippocampal–entorhinal representations support human context-dependent spatial navigation
The human medial temporal lobe represents memory items in their ordinal position in both declarative and motor memory domains
Foveal neurons of the monkey superior colliculus signal trans-saccadic prediction errors
1
Multiview deep-learning-enabled histopathology for prognostic and therapeutic stratification in stage II colorectal cancer: A retrospective multicenter study
2
Spread complexity rate as proper momentum
Deep finite temperature bootstrap
8
Biorthogonal Neural Network Approach to 2D Non-Hermitian Systems
Unsupervised Learning for Anticipating Critical Transitions
Robust Scaling in Human Brain Dynamics Despite Correlated Inputs and Limited Sampling Distortions
Content-Addressable Memory with a Content-Free Energy Function
Deciphering Complexity in Human Brain Organoids via a Novel Hurst Exponent Estimation
Electron-Nucleus Cross Sections from Transfer Learning
Incorporating Physical Priors into Weakly Supervised Anomaly Detection
Kinetic Theory of Decentralized Learning for Smart Active Matter
6
Photonic Restricted Boltzmann Machine for Content Generation Tasks
Quantum-Secure Multiparty Deep Learning
Statistical Physics Analysis of Graph Neural Networks: Approaching Optimality in the Contextual Stochastic Block Model
Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
Fisher Information Flow in Artificial Neural Networks
RL Perceptron: Generalization Dynamics of Policy Learning in High Dimensions
33
Accurate and scalable deep Maxwell solvers
Spatial and semantic memory reorganize a hippocampal long-axis gradient
Online supervised learning of temporal patterns in biological neural networks under feedback control
A data-driven framework linking the connectome to spatial gene expression gradients inspired by chemoaffinity theory
Human hippocampal theta–gamma coupling coordinates sequential planning during navigation
Place cells in CA1 lack topographical organization of firing locations
Order parameters and phase transitions of continual learning in deep neural networks
The seeds of the future are in the present: A blind exploration of metastable states
The role of fibration symmetries in geometric deep learning
Distinct contributions of hippocampal pathways in learning regularities and exceptions revealed by functional footprints
Primate-informed neural network for visual decision-making
ZENN: A thermodynamics-inspired computational framework for heterogeneous data–driven modeling
High-speed X-ray tomography for 4D imaging
Medial entorhinal VIP-expressing interneurons receive input from the thalamic anterior dorsal nucleus and are critical for spatial memory
Spiking world model with multicompartment neurons for model-based reinforcement learning
Building the connectome of a small brain with a simple stochastic developmental generative model
Stability through plasticity: Finding robust memories through representational drift
Revisiting the high-dimensional geometry of population responses in the visual cortex
Two-factor synaptic consolidation reconciles robustness with pruning and homeostatic scaling
Automaticity speeds the retrieval of instances from the human hippocampus
Precise temporal dynamics of ripple events support order memory in human hippocampal–cortical circuits
Adaptable microplastic classification using similarity learning on µFTIR spectra collected from µFTIR focal plane array imaging
Biologically grounded neocortex computational primitives implemented on neuromorphic hardware improve vision transformer performance
The intrinsic neuronal network of the central nervous system and its modular (subsystem) architecture in a mammal
Hippocampal CA2 to CA1: A metaplastic switch for memory encoding
Discovering neural elastoplasticity from kinematic observations
Deep reinforcement learning control unlocks enhanced heat transfer in turbulent convection
Hippocampal mismatch signals are based on episodic memories and not schematic knowledge
Rapid, interpretable data-driven models of neural dynamics using recurrent mechanistic models
Representational drift and learning-induced stabilization in the piriform cortex
Unilateral incentive alignment in two-agent stochastic games
Symmetries and synchronization from whole-neural activity in the Caenorhabditis elegans connectome: Integration of functional and structural networks
A circuit model for transsaccadic space updating and mislocalization
4
Pretreatment CT Identification of Extranodal Extension in Laryngeal and Hypopharyngeal Cancers Using Deep Learning.
Evaluation of a Mammography-based Deep Learning Model for Breast Cancer Risk Prediction in a Triennial Screening Program.
Performance of Algorithms Submitted in the 2023 RSNA Screening Mammography Breast Cancer Detection AI Challenge.
MRI-based Ovarian Lesion Classification via a Foundation Segmentation Model and Multimodal Analysis: A Multicenter Study.
7
Toward universal steering and monitoring of AI models
All-optical synthesis chip for large-scale intelligent semantic vision generation
Cortical glutamatergic and GABAergic inputs support learning-driven hippocampal stability
Head-direction cells as a neural compass in bats navigating outdoors on a remote oceanic island
Visual objects refine head direction coding
Global earthquake detection and warning using Android phones
Event structure sculpts neural population dynamics in the lateral entorhinal cortex
32
Dual computational systems in the development and evolution of mammalian brains
ArchesWeatherGen: Skillful and compute-efficient probabilistic weather forecasting with machine learning
Steering semi-flexible molecular diffusion model for structure-based drug design with reinforcement learning
PATCH: A deep learning method to assess heterogeneity of artistic practice in historical paintings
Optical logic convolutional neural network
Electroluminescent perovskite QD–based neural networks for energy-efficient and accelerate multitasking learning
Nonlinear optical extreme learner via data reverberation with incoherent light
Privacy-preserving data analysis using a memristor chip with colocated authentication and processing
A general soft robotic controller inspired by neuronal structural and plastic synapses that adapts to diverse arms, tasks, and perturbations
Disaggregated machine learning via in-physics computing at radio frequency
High-order expansion of neural ordinary differential equation flows
Constructing biologically constrained RNNs via Dale’s backpropagation and topologically informed pruning
Complementary roles of dorsal and ventral hippocampus in the flexible adaptation of goal-directed behavior
High-capacity directional information processor using all-optical multilayered neural networks
Adaptation of hippocampal spatial and contextual representations to task structure
Hybrid functional 3D artificial synapses for convolution and reinforcement learning
An overhead-reduced, efficient, fully analog neural-network computing hardware
Ultrahigh-precision analog computing using memory-switching geometric ratio of transistors
Path integration impairments reveal early cognitive changes in subjective cognitive decline
LARGE protein drives activity-induced homeostatic resetting
Real-time signal processing enabled by fused networks on a memristor-based system on a chip
Motifs of human high-frequency oscillations structure processing and memory of continuous audiovisual narratives
Structural and genetic determinants of zebrafish functional brain networks
A self-supervised robotic system for autonomous contact-based spatial mapping of semiconductor properties
Memristive floating-point Fourier neural operator network for efficient scientific modeling
Single organic electrochemical neuron capable of anticoincidence detection
Self-powered artificial vibrissal system with anemotaxis behavior
All-integrated multidimensional optical sensing with a photonic neuromorphic processor
Communication of perceptual predictions from the hippocampus to the deep layers of the parahippocampal cortex
Diversity of omission responses to visual images across brain-wide regions
Fully memristive spiking neural network for energy-efficient graph learning
A multimodal and fully automated system for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer
8
AI-driven urban evolution forecasting: A unified memory-aware multi-conditional generation framework for sustainable development planning
Augmenting Urban Planning with Computer Vision: A Review of The State-of-The-Art
Deep Learning for Optimizing Urban Governance by "Sensing-Processing-Responding" Cycle: Recent Advances, Future Prospects and Challenges
Computer vision-based approach for autonomous estimation of building envelope material stock
Automated Framework for Semantic Segmentation and CFD-Ready Geometric Reconstruction of Urban Elements from UAV Data
What if transformers revolutionize geospatial forecasting? ConvLSTM-Transformer-ARIMA framework for LST forecasting
Identifying slum areas: A multidimensional analysis leveraging with explanatory machine learning techniques
An explainable deep neural network with frequency-aware channel and spatial refinement for flood prediction in sustainable cities
1
Neural Networks as Surrogate Solvers for Time-dependent Accretion Disk Dynamics
5
Bioinspired Adaptive UV-NIR Cross-Band Convolutional Fusion for Motion and Shape Recognition in Adverse Environments
A Bioinspired Optic-Neural Device with Neuromorphic Spatiotemporal Visual Perception for Dynamic Object Recognition
Minimally Invasive, Label-Free, Point-of-Care Histopathological Diagnostic Platform of Malignant Tumors of the Female Reproductive System Based on Raman Spectroscopy and Machine Learning
Accurate Prediction of Excited-State Energies from Molecular Orbital Energies Based on Graph Neural Network with Transfer Learning
Multi-Time-Scale Time Encoding for CNN Prediction of Fenna–Matthews–Olson Energy-Transfer Dynamics
2
How to Sample and When to Stop Sampling: The Generalised Wald Problem and Minimax Policies
Temporal-Difference Estimation of Dynamic Discrete Choice Models
14
Few-shot acoustic leak detection in water pipelines via hierarchical consistency learning and class-wise gating fusion
Adaptive reinforcement learning for energy-efficient high-recovery closed-circuit reverse osmosis
Enhancing cross-regional transferability of super-resolution-based flood surrogate models for data-scarce catchments
A new paradigm for electrical modeling in site leakage diagnostics: a label-scarce three-dimensional simulation surrogate using physics-informed neural networks
Evaluation of graph neural networks for urban drainage metamodeling: Key components and transferability analysis
A knowledge-data fusion framework accelerates deep reinforcement learning for real-time control of urban drainage systems
Robust S3Former deep learning model for the direct diagnosis and prediction of natural organic matter (NOM) from three-dimensional excitation-emission-matrix (3D-EEM) data
Physics-informed neural network for hydraulic prediction in open-channel water transfer projects with sparse monitoring data
Transfer Learning with Graph Neural Networks for Pressure Estimation in Monitoring-Limited Water Distribution Networks
Machine Learning-Driven Dynamic Prediction and Optimization for Ammonia Recovery in Membrane Distillation System
Enhancing explainable AI with graph signal processing: Applications in water distribution systems
MobileYOLO-Cyano: An enhanced deep learning approach for precise classification of cyanobacterial genera in water quality monitoring
Heterogeneous graph neural networks enhance pressure estimation in water distribution networks
Development of Deep Learning Quantization Framework for Remote Sensing Edge Device to Estimate Inland Water Quality in South Korea

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