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  1. Runtime Termination Control in Stochastic Computing

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  2. A Representation Learning Approach to Feature Drift Detection in Wireless Networks

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  3. Multi-Discounting Reinforcement Learning Based on Reward Decomposition

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  4. Exploring Time Predictability for High-Bandwidth Memory Technology

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  5. Concurrent Self-Testing and Uncertainty Estimation of Neural Networks Using Uncertainty Fingerprint

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  6. Leveraging Simultaneous Usage of Edge GPU Hardware Engines for Video Face Detection and Recognition

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  7. MatcHEd: Privacy-Preserving Set Similarity Based on MinHash

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  8. Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations

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  9. Spatial-Temporal Neighborhood Transformer for Point Cloud Completion

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  10. Edge-Optimized Vision Transformers: A Co-Designed Hardware-Software Framework for Efficient Attention Mechanism

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  11. Localization Graph Generation Based Matrix Factorization for Incomplete Multi-View Clustering

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  12. A New Scan Based Attack on AES With Plaintext Restriction Countermeasure

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  13. Distributed Time Synchronization in NOMA-Assisted Ultra-Dense Networks

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  14. Traceable and Revocable Attribute-Based Conjunctive Keyword Search

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  15. Variation Resilient Schemes and Approximation-Free Offset Compensation for Reliable ReRAM-Based DNN Accelerators

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  16. MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning

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  17. System Design and Prototype Validation of a Blockchain‐Based Product Carbon Footprint Accounting System

    Published in IET Blockchain (2026)
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  18. Improved Consensus Protocol for IoT Trust Management Systems

    Published in IET Blockchain (2026)
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  19. Decentralised Ledger Solutions for Scalable and Trustworthy Resource Management During Disasters

    Published in IET Blockchain (2026)
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