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A Systematic Review of Federated and Cloud Computing Approaches for Predicting Mental Health Risks. [PDF]
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A hybrid RL-GA-LSTM-AE framework for energy-aware and SLA-driven task scheduling in cloud computing environments. [PDF]
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TaWSA-WRN: a Taylor wave search optimized WideResNet framework for intrusion detection with response-aware mitigation in cloud computing. [PDF]
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IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning. [PDF]
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Fair-efficient allocation mechanism with meta-types resources in cloud computing. [PDF]
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Load balancing for cloud computing using optimized cluster based federated learning. [PDF]
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E-Research Institutional Cloud Architecture (ERICA): An Orchestration Meta-Framework for Establishing Trusted Research Environments Using Public Cloud Computing. [PDF]
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A cloud-computing framework for downscaled global 300 m SIF retrieval from Sentinel-3 and TROPOSIF.
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Toward Energy-Efficient and Low-Carbon Intrusion Detection in Edge and Cloud Computing Based on GreenShield Cybersecurity Framework. [PDF]
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