Social Internet of Things: vision, challenges, and trends

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Learning and adapting domain-generalized knowledge for dual-target cross-domain recommendation via LLM-enhanced meta-learning

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Performance Analysis of Machine Learning Algorithms for IoT Security

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Discrete Optimization Analysis of Ensemble Learning in Ayurvedic Dosha Classification

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A Systematic Review on the use of Deep Learning in Classifying Malicious Network Traffic

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

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Parallel and extremely fast learning neural network for healthcare big data applications

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Few-shot urban strategic group discovery with LLM annotation and hypergraph learning

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A Three-Level Model for Detecting and Identifying Aviation Objects using Deep Learning

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Hierarchical service chain orchestration for multi-cloud environments enabled by deep reinforcement learning

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LEXA: Legal case retrieval via graph contrastive learning with contextualised LLM embeddings

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Event-driven online adaptation for microclimate control via meta-learning and evolutionary optimization

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Modeling the Impact of Perceived Security and Privacy on Student Adoption of Mobile Learning Applications Beyond Functionality

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Integrating Fractional Generalized Laguerre Moment with Deep Residual Learning for Real-Time Attack Classification

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Using the Internet in Higher Education and Training : a development research study

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

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Learning to detect malicious bots in computer networks via heterophily-aware isotropic out-of-distribution detection

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Assessment Of A Middle School Return To Learn Concussion Protocol

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Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks

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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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