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Research on night vision pedestrian detection algorithm by incorporating attention mechanism
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AG-HybridNet: An Attention-Guided Hybrid CNN-Transformer Network for 3D Gaze Estimation
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Research on Semantic Segmentation Algorithm Based on Lightweight DeepLabV3+ Network
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Research on UAV Target Detection Based on APFU-YOLOv10
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Research on Traffic Signal Control Algorithm Based on Deep Reinforcement Learning
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Research on a Lightweight Small Object Detection Method Based on Lite-RFB Modules
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Image Super-Resolution Reconstruction Method Based on Improved Generative Adversarial Network
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A Modified Generative Adversarial Network-based Drug Discovery Model for Accelerating Biomolecular Interaction Predictions
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Research Trends on Sentiment Analysis and Imbalanced Data Handling in Fake Review Detection: A Systematic Literature Review
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Evaluating the Efficiency of Algorithms for Neural Module Adaptation to Classification Problems in Dynamic Neural Network
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FuzzyGreen: A Context-Aware Fuzzy Inference Framework for Carbon Footprint Reduction in Next-Generation Wi-Fi Network Infrastructure
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Three-Dimensional Line-of-Sight Estimation Based on RTACM-Net and Vision Transformer
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An Improved RT-DETR-Based Object Detection Algorithm for UAV Aerial Photography
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Speech Processing Using Dynamic Micro-Block Optimization Based on Deep Learning
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Optimization of Polar Code BP Bit-Flipping Decoding Based on an Adaptive Genetic Algorithm
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A Simple and Reproducible Machine Learning Pipeline for Parkinson’s Disease Detection Using Smartwatch-Based Inertial Signals
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Lightweight Texture-Based Classification of Huffaz Status from Structural MRI Using GLCM Correlation and Brodmann-Area VOIs
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Reinforcement Learning for Real-Time Traffic Management: A Robust DQN-Based Signal Control Approach with OpenTAPAS Integration
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A multi-language perspective on the robustness of LLM code generation
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Critical Factors are Affecting the Application of Information Theory in Broadband Communication Channel Capacity
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The Review of Image Inpainting
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Tackling Uncertainty in Reinforcement Learning: A Dual Variational Inference Approach for Task and State Estimation
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PSwinUNet: Bridging Local and Global Contexts for Accurate Medical Image Segmentation with Semi-Supervised Learning
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On the Design of Frequency Down-Converter for Satellite Communications System