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    In-Memory Computing Paradigm Using Energy-Efficient Analog Arithmetic for DNA Sequence Alignment

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    Enhancing the Security of Rollup Sequencers Using Decentrally Attested TEEs

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    Nomoformer: A Transformer-Based Approach for Pedestrian Trajectory Prediction With Non-Linear Motion Representation

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    Privacy-Preserving Outsourced Deep Neural Network Training: New Dual-Cloud Framework and Efficient Construction

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    Time Information-Enhanced Multi-Space Modeling Spatiotemporal Transformer Network for Traffic Flow Forecasting

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    Unleashing the Potential of Skyrmion Racetrack Memory as Energy-Efficient On-Chip Memory

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    Concept-Cognitive Neural Network for Fairness-Aware Maximal Cliques Identification

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

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

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

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

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

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

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

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

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

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

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

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

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