EMAF-Net: An Edge-Aware Super-Resolution Framework for Enhanced Object Detection and Semantic Annotation

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Toward Safer Overtaking Maneuvers: A Simulation-Based Study on Accident Mitigation in Automated Vehicles

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Implementation and Evaluation of Hierarchical Beam Selection Algorithm for mmWave WPT Systems

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A Novel Companding-Based Hermitian Symmetry Free ACO-UFMC Scheme for IM/DD in Low-Power IoT-Centric Future Wireless Communications

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LLMs for End-to-End Machine Learning: A Comprehensive Review

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Automating Cyber Risk Assessment With Public LLMs: An Expert-Validated Framework and Comparative Analysis

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RanMoDE: Online Indoor Localization of Autonomous Flight Robots Using Minimal Sensor Configuration

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Bridging Global Climate Solutions and Local Realities: Evaluating Neural Networks for High-Resolution Downscaling

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Toward an AI-Powered Software Pipeline for Real-Time Tracking and Analysis of Wildfire and Smoke

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AI-Driven Self Optimization of 5G Network Coverage and Capacity Using Multi-Agent Deep Reinforcement Learning

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Applicability of DIN ISO 14505-2 in Short-Term Neutral Thermal Comfort Assessment for Highly Automated Vehicles

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Metadata-Integrated Deep Semi-Autoencoder for Implicit-Feedback Recommendation Under Data Sparsity and Cold Start

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Enhancing Building Change Detection in ChangeFormer by Integrating Deformable Attention Transformer

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Motor Length Reduction of Outer Rotor Type SPM Motor by Magnet Overhang Structure With 3-D Flux Recovery

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Machine Learning-Aided Latency Prediction in Packet-Switched Xhaul Networks

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Index Modulation for Streaming QR Codes

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Sentinel Mode Using Sensor Fusion for Improving Security in Shared Vehicles

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The Use of Value Propositions in DevOps Software Product Management

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Real-Time Experimental Investigation of Open- and Closed-Loop Speed Control for a Prototype EV Powertrain Incorporating a 2.2-kW BLDC Motor and Planetary Gearbox

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Explainable CNN-GRU Model With Self-Attention for Human Activity Recognition Using Wearable Sensors Through Data Augmentation

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