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  1. Practical and Robust Privacy-Preserving K-Means Clustering Protocols With GPU Acceleration

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  2. Deep Belief Network-Based Activity of Daily Living Monitoring for Fall Risk Prediction in Elderly

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  3. HTAM: High-Performance Ternary Approximate Multiplier Designs With Stage-Wise Optimization for Low PDP and High Accuracy

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  4. ColReg: A Generative Subjective Logic-Driven Crowd-AI Collaborative Regression Framework for Vehicle Damage Estimation

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  5. LOC-SAC: A Lyapunov-Guided Online Collaborative Offloading Strategy With the SAC Algorithm

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  6. A 22-nm 4.92 TOPS/W End-to-End RNS DNN Accelerator for Edge-AI Devices

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  7. SecTAG: A Semantic and Intent Representation Framework for Risk-Aware Hashtag Hijacking Detection

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  8. SonicOnEdge:A Real-Time Contextual Noise Mapping System on Edge Using GridCNN Model

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  9. YAXY: A New Hybrid FPGA-Based Hardware Acceleration of TFHE

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  10. Practical and Efficient Non-Interactive Multi-Client Searchable Encryption for E-Healthcare Systems

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  11. MC-DiffNet: Mask-Constrained and Cycle-Consistent Diffusion Network for Unpaired Ultrasound Image Enhancement

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  12. A Low Power Consumption Software PUF Based on Video Coding Hardware for Image Frame Encryption

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  13. CryptoCastAI: A Unified AI‐Driven System for Cryptocurrency Market Forecasting and Model Comparison

    Published in IET Blockchain (2026)
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  14. A Policy‐Driven Ecosystem for an Indonesian Rupiah Stablecoin

    Published in IET Blockchain (2026)
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  15. A Review of Offline Blockchain Transaction Systems

    Published in IET Blockchain (2026)
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  16. Multimodal Chinese Pronunciation Error Correction With IoT Integration

    Published in Internet Technology Letters (2026)
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  17. PSO‐FRL: A Hybrid Optimization and Adaptation Approach for Task Scheduling in Edge Enabled Sensor Networks

    Published in Internet Technology Letters (2026)
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  18. Evaluation of the Impact of a Smartphone App on Adherence to an Exercise Program in People With Chronic Low Back Pain: Randomized Controlled Trial

    Published in JMIR mHealth and uHealth (2026)
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  19. Keyword-RAG: Enhancing precision in question-answering for FDM troubleshooting from technical documents

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