Development of a Realistic Model to Accurately Predict the “Mirrored S-Curve” Nature of LED Luminaire Lumen Maintenance for Any Operating Conditions

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An Improved Template Inversion Attack Against Korean Face Images

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A Robust Occlusion-Aware Deep Learning Architecture for Thermal Aerial Person Classification in Search-and-Rescue Missions

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SWIFT-FMQA: Enhancing Factorization Machine With Quadratic-Optimization Annealing via Sliding Window

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Deep Learning-Based Faulty Component Diagnosis of Transmission Channels in ATE Affected by Thermal Degradation

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Adversarial Shadows in Digital Forensics: New Insights Into File Fragment Classification Vulnerabilities and Defenses

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Stability Considerations for the Design of Amplifier-Based Active Sensors

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Framework for Robot Door Opening Based on Visual, Force, and Tactile Integration

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Carbon-Aware AI Control Plane for DevOps Automation: A Reference Architecture and Next-Generation Sustainability Framework

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SST-Net: Self-Supervised Violence Detection Using Spatiotemporal Modeling and Adaptive Background Suppression

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Transformer-Based Generative Adversarial Network With Multi-Scale Temporal Attention for ECG Synthesis and PQRST Feature Preservation

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A Novel Fractional Order Intelligent Approach: Validation and Control of Industrial Deaerator

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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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