Channels - Hierarchical service chain orchestration for multi-cloud environments enabled by deep reinforcement learning :: FRELIP Discovery

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

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The Evolution of Environment for Collaborative Mobile Cloud-Proposals Advanced Mobile Cloud Service Model
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Cloud-enabled adaptive design and communication optimization for elderly-oriented grassroots health science popularization
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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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ElitePT: A scheduling strategy for planned task in airborne cloud computing environment
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Enhancing Cloud Storage Security Using Multi-User Biometric Encryption with Threshold Access Control
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Edge-cloud collaborative learning for large-scale physical education data processing
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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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Cost efficient storage and swift time-bound access revocation using attribute-based encryption in untrusted cloud environments
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Machine learning assisted cloud edge framework for performance prediction in biomass driven hydrogen production systems
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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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PaTaNet: a cloud-native collaborative position aware temporal adaptation network for multi-tenant remaining useful life prediction
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Semantic neighbor swapping for privacy-aware edge-cloud inference
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A Systematic Review on the use of Deep Learning in Classifying Malicious Network Traffic
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A Three-Level Model for Detecting and Identifying Aviation Objects using Deep Learning
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Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks
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Integrating Fractional Generalized Laguerre Moment with Deep Residual Learning for Real-Time Attack Classification
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Cloud-edge collaborative interpretable fault classification for helical tomotherapy systems via LLM–VLM reasoning
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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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Carbon-aware scheduling and distributionally robust optimization for cloud systems: forecasting, battery storage, and adaptive ambiguity refinement
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TailBench++: flexible multi-client, multi-server benchmarking for latency-critical workloads
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Enhancing blockchain efficiency and security: a shard-chain methodology with smart contract integration
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Adaptive Multi-Stage Fuzzy Logic Model of Student Knowledge Assessment
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A hybrid intrusion detection method based on multi-convolutional neural networks fusion and grey wolf optimizer
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Learning and adapting domain-generalized knowledge for dual-target cross-domain recommendation via LLM-enhanced meta-learning