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    Vision Transformers in Person Re-Identification: A Review

    Published in IEEE Access (2026)
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    Resiliency-Centric Optimization for Microgrid Sizing: A Holistic Approach With Renewable and Hydrogen Energy Infrastructure

    Published in IEEE Access (2026)
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    PGA–DSCformer–BiLSTM: A Hybrid Deep Learning Framework for Long-Term Load Forecasting

    Published in IEEE Access (2026)
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    SR-MaskRT-DETR: Super-Resolution Feature-Enhanced MaskRT-DETR for Capillary Loop Instance Segmentation in Nailfold Capillaroscopy

    Published in IEEE Access (2026)
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    A Unified Single-Pass Streaming Data-Flow Accelerator for Multi-Output Image Augmentation on FPGA MPSoCs

    Published in IEEE Access (2026)
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    Risk-Aware Selective Neural Refinement for Reliable Dense Retrieval

    Published in IEEE Access (2026)
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    CrediBLE: A Credit-Based Adaptive Flow Control Architecture for Bluetooth Low-Energy Gateways

    Published in IEEE Access (2026)
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    Integrated Longitudinal and Lateral Acceleration-Based Trajectory Planning Algorithm for Emergency Collision Avoidance Maneuver in Autonomous Vehicle

    Published in IEEE Access (2026)
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    A Dual-Model Deep Learning Framework With Consensus-Based Ensemble for Advanced Persistent Threat Detection in Industrial Internet of Things Networks

    Published in IEEE Access (2026)
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    ProntoPCR: Efficient qPCR Data Analysis Software

    Published in Journal of Open Source Software (2026)
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    kooplearn: A scikit-learn compatible library of algorithms for evolution operator learning

    Published in Journal of Open Source Software (2026)
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    BordAX: A High-Performance JAX Framework for Programmatic Reinforcement Learning

    Published in Journal of Open Source Software (2026)
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    IAMAP: Unlocking Deep Learning in QGIS for non-coders and limited computing resources

    Published in Journal of Open Source Software (2026)
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    Investigation and RL-based Optimization of Offloading Decision Making in Industrial Edge Computing Scenarios

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    The Labeling Dilemma: Study of Clickbait Datasets and their Methodologies

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    On the Problem of Latent Temporal Modulation in Diagnostic Decision-Making

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    A Hybrid Framework Integrating Novel Segmentation and Hybrid Feature Engineering with M-SVM for the Detection and Classification of Wheat Rusts and Septoria

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    An Enhanced Intuitionistic Fuzzy TOPSIS approach Based on Yager’s Aggregation Operators and the Application in Selecting Green Suppliers

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    Edge‐Optimized Sugarcane Disease Detection Using CLIP‐Distilled Swin Transformer and Grad‐CAM Visualization

    Published in Internet Technology Letters (2026)
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    AI‐Driven Resource Optimization in Distributed Computing for Hybrid Cloud Environments: An Energy‐Aware Approach

    Published in Internet Technology Letters (2026)
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