Load Characteristics Analysis of Traction Substations of AC Electrified Railway Based on the Measured Load Data

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Swin Transformer for Bearing Fault Diagnosis

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Resilient Constraint Energy Management for Microgrids: Integrating Wasserstein DRO and CVaR-Constrained MPC Under Renewable Uncertainty

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MaRNet: A UAV Radio Frequency Recognition Method Combining Mamba With ResNet

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Benchmarking TabNet, NODE, and FT-Transformer for Software Defect Prediction: An Empirical Comparison and Explainability Analysis

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Optimal Placement and Sizing of Multiple Distributed Generators in Distribution Networks Using an Adapted Equilibrium Optimizer

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Redesign and PLC-Based Automation of a Hybrid Plastic Extruder Machine With Comparative Thermal Analysis and Finite Element Analysis

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A Deep Learning and Inertia-Aware Load Shedding Framework for Mitigating Load-Altering Attacks

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Adaptive Practical Predefined-Time Formation Tracking for Multiple Quadrotors With Time-Varying Parameters

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Controllability and Observability of Real-Time Implementation of Smart Grid Cyber-Physical Systems Under Adversarial Attacks

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Graph Neural Networks for Collaborative Filtering: A Survey on Ranking Prediction

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Automated Selection of Sit-to-Stand Inertial Signals Using Similarity Metrics

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Anomalous Behavior Detection in IoT Devices Utilizing Embedded Representations of Power Consumption Waveforms

Subjects: “…Computer Science & Information Science…”
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SERA: Secure Micro XRCE-DDS Establishment With Remote Attestation for Micro-ROS

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A Wavelet Enhanced Deep Learning Model for Mineral Image Classification: WFeedNet

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Hybrid Bidirectional Boost-Switched-Capacitor Converter With Elevated Voltage Gain for Energy Storage System Interfaces

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A Lightweight 2D Projection CNN Framework for MRI-Based Brain Age Prediction

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Learning on hierarchical trees with Random Forest

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FreeStylo: An easy-to-use stylistic device detection tool for stylometry

Subjects: “…Computer Science & Information Science…”
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aiida-aimall: A Python package for automating workflows for AIMAll software

Subjects: “…Computer Science & Information Science…”
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