An optimized resource allocation in cloud using prediction enabled reinforcement learning. [PDF]
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Editorial to the Special Issue "Recent Advances in Optical Wireless Communications". [PDF]
Sensors (Basel)Genoves Guzman B, Morales Céspedes M.
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Feature Noise Resilient for QoS Prediction with Probabilistic Deep Supervision
Accurate Quality of Service (QoS) prediction is essential for enhancing user satisfaction in web recommendation systems, yet existing prediction models often overlook feature noise, focusing predominantly on label noise.
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<i>H</i>-linear magnetoresistance in NbSe<sub>2</sub> due to impeded cyclotron motion. [PDF]
Sci AdvKool A +7 more
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MQTT-Based Architecture for Real-Time Data Collection and Anomaly Detection in Smart Livestock Housing. [PDF]
Sensors (Basel)Ko KI, Lee MH.
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Quality of experience-aware application deployment in fog computing environments using machine learning. [PDF]
PeerJ Comput SciJenifer P, Angela Jennifa Sujana J.
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Neural Network-Based Adaptive Resource Allocation for 5G Heterogeneous Ultra-Dense Networks. [PDF]
Sensors (Basel)Alhazmi AS, Arafah MA.
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Routing Protocols for Wireless Body Area Networks: Recent Advances and Open Challenges. [PDF]
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SLA aware deep reinforcement learning for adaptive EdgeCloud task scheduling. [PDF]
Sci RepYamsani N, P CR.
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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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