Data Management and Data Science articles

Time frame: 1 June 2025 - 30 May 2026

View topic

Count: 109

Article ‘Count’ for Data Management and Data Science.

Journal Count
3
Games on Multiplex Networks
Tying with Network Effects
Just a Few Seeds More: The Value of Network Data for Diffusion
1
Peer Networks and Ideological Consistency: How Student Communities Facilitate Belief Liberalization in Higher Education
1
The Influence “Paradox”: When More Network Ties Lead to Less Change
2
Semisupervised Learning Process Based on a Laplacian Regularized One Class Support Vector Machine with Dynamic Decision Rule for Near-Infrared Data Classification
Exploring the Efficacy of Background Removal with SOM-RPM in Mass Spectrometry Imaging
4
An AI explained data-driven framework for electricity theft detection with optimized and active machine learning
Analysis of multilayer energy networks: A comprehensive literature review
Improved surrogate modeling for multi-energy system design: Model architecture, sampling and scaling choices
Self-organized criticality study in natural gas pipeline systems: A system amp; data science approach
1
An information-matching approach to optimal experimental design and active learning
2
Flow-driven analysis of divergences between virtual and physical urban structures: Insights from Shenyang, China
An agent-based model of residents' group decision making in neighborhood regeneration: Assessing the impacts of consensus-reaching approaches
1
Relationships between interactive network patterns and students’ cognitive and emotional processes: Evidence from the individual and group levels
2
Content Camouflage: How Diversified Posting Patterns Influence Human Detection of AI-Enabled Social Bots
Human-Bot Symbiosis and Misinformation Propagation: Exploring the Mechanisms of Social Bot Participation from the Perspective of Emotional Contagion
24
Improved Beetle Antennae Search Algorithm-Optimized Machine Learning Model for Predicting Methane Production in Anaerobic Digestion
Data-driven optimization of auto-cascade refrigeration system via machine learning and evolutionary multitasking
Generative adversarial networks-based data clustering in transportation-oriented energy interconnected system
An Explainable Artificial Intelligence Prediction and Optimization Framework for Catalyst Layer in Proton Exchange Membrane Fuel Cell
Integrated multi-physics simulation and machine learning-based multi-objective optimization for enhanced geothermal system heat extraction performance
An attention-enhanced hybrid TCN-LSTM model optimized by a strengthened elitist genetic algorithm for heat load prediction
Investigating the Interplay of Adaptive Optimizer Hyperparameters on Deep Neural Network Predictive Fidelity for Simultaneous Characterization of Propane Engine Combustion, Thermal Efficiency and Emissions
An Enhanced Intelligent-driven Learning Framework for Adaptive Multi-objective Optimization Control of Pintle Solid-fuel Rocket Engines
AI-aided optimization of droplet layout in distribution zone for commercial bipolar plates of PEMFC
A multi-objective optimization strategy for ultra-low energy residential buildings based on a hybrid machine learning algorithm
Energy Management of Hybrid Energy Storage System with Renewable Energy Sources for Electric Vehicles Based on Green Anaconda Optimization and Multi-resolution Sinusoidal Neural Network
Optimization of Extreme Learning Machine using Barnacles Mating Optimizer for Chiller Cooling Load Prediction in Commercial Building
Deep learning-driven heat load prediction: Investigating the impacts of optimizer and learning rate scheduler strategies
Prediction of NOx Emissions in Waste-to-Energy Plants Using Machine Learning Models Based on Hybrid Feature Selection Method
Systemic comparison of machine learning models in the optimization of flow field design for proton exchange membrane fuel cells
Multi-objective optimization of hybrid agricultural powertrain via crowding-adaptive NSGA-II with dynamic population control
Intelligent demand-side energy management based IoT using multi-attention fusion residual convolutional neural network for day-ahead energy forecasting
Advancing Sustainable Architecture: A Multi-Objective Enhanced Coyote and Neural Network Model for Energy and Comfort Optimization
Smart home energy management optimization: An amended sparrow search algorithm for enhanced grid stability and cost efficiency
Data-Driven Multi-Objective Optimization of the Helium-Xenon Closed Brayton Cycle System
Research on dynamic operation strategy of heating, power generation, and air purification-type BIPVT system combined with machine learning
Neural network prediction based on Dung Beetle Optimization algorithm and engine performance emission optimization using Multi-Objective Rime Optimization algorithm
Intelligent optimal design for near-zero energy buildings performance: A case study of five climate zones in China
Approaching a modified adaptive swarm intelligence to energy efficiency enhancement of an inline pump
3
An adaptive hybrid modeling approach integrating elastic net and Kriging for activated sludge treatment
Deep Learning-Guided Optimization of Cobalt Catalysts for Antibiotic Degradation
Machine Learning Based Prediction of Waste Activated Sludge Generation for Optimization of WWTP Operational Efficiency
1
Improving the Assimilation Ability for the Extreme Events by Proposing a Nonlinear Machine Learning Data Assimilation Approach
1
Institutional constraints to higher education datafication: an English case study
2
Event-Triggered Maps of Dynamics: A Framework for Modeling Spatial Motion Patterns in Non-Stationary Environments
Recommendation Navigation Based on User Information Using VLM
3
Algorithm optimization of neural network models for improved fault diagnosis and reliability enhancement in photovoltaic systems: A sustainability approach
Prediction of remaining driving range for electric vehicles based on IVY feature selection and parameter optimization of KAN
Do peers, private businesses, and technical advisors within indigenous farmers' networks encourage or discourage sustainable farm management?
1
Rupture Propagation Direction at the Junction of the Garlock and San Andreas Fault System: A Machine Learning Classification Approach Driven by Earthquake Simulations
1
Graph theory inspired anomaly detection at the LHC
1
Vacancy Chains
6
Autoregressive networks with dependent edges
Modelling with categorical features via exact fusion and sparsity regularization
Representation of context-specific causal models with observational and interventional data
Multilayer random dot product graphs: estimation and online change point detection
Optimal clustering by Lloyd’s algorithm for low-rank mixture model
A unified generalization of the inverse regression methods via column selection
3
Quality-Variety Tradeoffs in Recommendation Systems on Content Platforms
Textual Factors: A Scalable, Interpretable, and Data-Driven Approach to Analyzing Unstructured Information
The Effect of a System for Sharing Best Practices Within Pre-Existing Peer Networks
16
Event-based spatiotemporal networks for modelling emergent phenomena in complex systems
Temporality modulates the effect of network heterogeneity on cooperation fixation
Chordless cycle filtrations for dimensionality detection in complex networks via topological data analysis
Adaptive spatial hashing with dual-domain memristive hardware
Modeling roles and trade-offs in multiplex networks
Community structure unveils the path multiplicity in complex networks
Predicting missing links in food webs using stacked models and species traits
Reducibility of higher-order networks from dynamics
Multicenter study on the versatility and adoption of AI-driven automated radiotherapy planning across cancer types
Homophily within and across groups
Mining higher-order triadic interactions
Observing network dynamics through sentinel nodes
Privacy preserving optimization of communication networks
A small set of critical hyper-motifs governs heterogeneous flow-weighted network resilience
LLM-generated messages can persuade humans on policy issues
Ubiquitous memory augmentation via mobile multimodal embedding system
1
Knowledge of information cascades through social networks facilitates strategic gossip
4
Directionality-Induced Jamming in Multiplex Networks
Dynamical Phase Transitions in Nonequilibrium Networks
Weak-Correlation Universality and Macroscopic Fluctuations in Power-Law Recurrent Networks
Core-Periphery Detection in Multilayer Networks
3
Criticality Enhances the Reinforcement of Disordered Networks by Rigid Inclusions
Fast Nonparametric Inference of Network Backbones for Weighted Graph Sparsification
Phase Diagram of Extensive-Rank Symmetric Matrix Denoising beyond Rotational Invariance
13
Unsupervised and probabilistic learning with Contrastive Local Learning Networks: The Restricted Kirchhoff Machine
Demonstrating real advantage of machine learning–enhanced Monte Carlo for combinatorial optimization
Predictability of complex networks
A swarm intelligence approach to density function reconstruction from moments using entropy optimization
Powers of magnetic graph matrix: Fourier spectrum, walk compression, and applications
Network structure shapes consensus dynamics through individual decisions
Interpretable early warnings using machine learning in an online game-experiment
Stochastically evolving graphs via edit semigroups
Community detection for directed networks revisited using bimodularity
The edge-averaging process on graphs with random initial opinions
Diffusion of complex contagions is shaped by a trade-off between reach and reinforcement
Tendencies toward triadic closure: Field experimental evidence
Information rate of meaningful communication
1
Peer influence decay and behavioral diffusion in adolescent networks: A simulation approach
3
Intersectional inequalities in social ties
Concise network models of memory dynamics reveal explainable patterns in path data
Early insight into social network structure predicts climbing the social ladder
1
Wavelet Transform-Based Clustering Decoding the Dynamical Properties of Single Molecular Junctions
3
Normal Approximation in Large Network Models
A Network Formation Model Based on Subgraphs
Simultaneous Search and Adverse Selection
1
Fr om Fixed Points to Optimum Regions: AI–NSGA-II Framework for High-Recovery, Low-Energy Brackish Water RO

Numerical information only (in the tables above) is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.