Data Management and Data Science articles

Time frame: 1 May 2025 - 30 April 2026

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Count: 105

Article ‘Count’ for Data Management and Data Science.

Journal Count
2
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
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
3
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
The “digital personalization effect” (DPE): A quantification of the possible extent to which personalizing content can increase the impact of online manipulations
23
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
Multi-objective optimization of hybrid agricultural powertrain via crowding-adaptive NSGA-II with dynamic population control
Systemic comparison of machine learning models in the optimization of flow field design for proton exchange membrane fuel cells
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
Heating energy consumption prediction based on improved GA-BP neural network model
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
5
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?
Machine Learning-Driven Multi-Objective Optimization for Sustainable, Cost-Effective, and Low-Emission Gold Mining
Optimization of Asphalt Mix Design Considering Mixture Performance, Environmental Impact, and Life Cycle Cost
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
7
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
Isotonic mechanism for exponential family estimation in machine learning peer review
2
Textual Factors: A Scalable, Interpretable, and Data-Driven Approach to Analyzing Unstructured Information
Leveraging Expert Consistency to Improve Algorithmic Decision Support
12
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
2
Knowledge of information cascades through social networks facilitates strategic gossip
On the conversational persuasiveness of GPT-4
4
Dynamical Phase Transitions in Nonequilibrium Networks
Weak-Correlation Universality and Macroscopic Fluctuations in Power-Law Recurrent Networks
Core-Periphery Detection in Multilayer Networks
Ensemble Inequivalence and Phase Transitions in Unlabeled 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
11
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
4
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
In-sensor multilevel image adjustment for high-clarity contour extraction using adjustable synaptic phototransistors
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

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