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    Discrete Optimization Analysis of Ensemble Learning in Ayurvedic Dosha Classification

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    An Adaptive Multi-objective approach for energy-aware routing in WSNs using Deep Q Learning and Coral Reef Optimization

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    Beyond Accuracy: A Hybrid BERT-BiLSTM Frame-work with Explainable AI (XAI) for Detecting Machine-Generated Disinformation

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    Energy-Efficient UAV-Assisted Post-Disaster Communications via WGSML-Based D2D Clustering and Optimal Trajectory Optimization

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    Performance Analysis of Machine Learning Algorithms for IoT Security

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    Carbon-aware scheduling and distributionally robust optimization for cloud systems: forecasting, battery storage, and adaptive ambiguity refinement

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    An edge–cloud continuum service for personalized seizure forecasting: communication-efficient digital twins with few-shot updates

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    An optimized bias-resilient double-indexed throttled scheduling algorithm for fair and efficient load balancing in cloud datacenters

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    An intelligent dual-mode textile sensing system toward communication-efficient gait and motion monitoring

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    Quantum-enhanced ECG analysis for reliable and secure arrhythmia detection in medical IoT systems

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    Cloud-edge collaborative interpretable fault classification for helical tomotherapy systems via LLM–VLM reasoning

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    Semantic neighbor swapping for privacy-aware edge-cloud inference

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    TorusNet: a direction-specific graph neural network architecture for congestion-aware adaptive load-balanced routing in torus networks

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    Edge-cloud collaborative learning for large-scale physical education data processing

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    TailBench++: flexible multi-client, multi-server benchmarking for latency-critical workloads

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    A hybrid intrusion detection method based on multi-convolutional neural networks fusion and grey wolf optimizer

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    Cybersecurity laws and ethical implications: integrated cybersecurity governance model (CLEI-ICGM)

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    Machine learning assisted cloud edge framework for performance prediction in biomass driven hydrogen production systems

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    A differential privacy-based personalized federated learning research on photovoltaic power prediction in cloud-edge computing environments

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    PaTaNet: a cloud-native collaborative position aware temporal adaptation network for multi-tenant remaining useful life prediction

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