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  1. Evaluating Critical Barriers to Industry 4.0 Adoption in the Thai Automotive Sector Using an Integrated Fuzzy BWM-PROMETHEE II-DEMATEL Framework

    Published in IEEE Access (2026)
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  2. A Novel Detection Approach for Quasi-Convex Quadrilateral Aircraft Covers

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  3. Efficient Legged Robot Locomotion Through Optimized Gait Planning for Unstructured Planetary Terrain

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  4. The Density of Cross-Persistence Diagrams and Its Applications

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  5. Multi-Expert Trajectory Prediction for Highway Weaving Sections Using Conflict Potential Energy and GAN

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  6. Low-Cost FPGA-Enhanced CNN Accelerator for Real-Time YOLO Object Detection and Classification

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  7. A Web-Ready and 5G-Ready Volumetric Video Streaming Platform: A Platform Prototype and Empirical Study

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  8. An Enhanced Multi-Target Detection Model for Autonomous Driving Based on Deep Learning Optimization

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  9. Lightweight Maritime Surveillance System Based on ResNeXt-18 and YOLO-HPSD

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  10. Bias-Averse Learning for Mitigating Source Dataset Bias in Avatar Fingerprinting

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  11. Multi-Objective Cloud Workflow Scheduling With Two-Stage Deep Reinforcement Learning and Graph Neural Networks

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  12. TifinNet: CNN–Transformer Hybrid Architecture for Tifinagh Handwritten Recognition

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  13. Dendritic Learning Empowered by Diversity-Aware Differential Evolution

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  14. A Review of Bandwidth Enhancement Techniques for Die-to-Die Single-Ended Interfaces in Chiplets

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  15. Design and Modeling of a Dual-Nanogap Triple-Heterojunction Split-Gate T-Shaped Channel Vertical DMDG-TFET With Source Pockets for Biosensing

    Published in IEEE Access (2026)
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  16. Data-Driven Spatio-Temporal Filters for Crosstalk Reduction in High-Density Surface EMG

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  17. A Hybrid LSTM-Transformer Approach for Accurate Time Series Traffic Prediction in Cellular Networks

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  18. Evaluating Bias Detection and Mitigation Approaches Across Classical and Large Language Models

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  19. Classification and Diagnosis of Propeller Damages Using FFT-Based Motor Current Signature Analysis of DC-Link Current

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  20. Risk-Constrained Learning of Personalized Driving Behaviors for Autonomous Vehicles

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