QOS PREDICTION FOR NEIGHBOR SELECTION VIA DEEP TRANSFER COLLABORATIVE FILTERING IN VIDEO STREAMING P2P NETWORKS

QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks

To expand the server capacity and reduce the bandwidth, P2P technologies are widely used in video streaming systems in recent years.Each client in the P2P streaming network should select a group of neighbors by evaluating the QoS of the other nodes.Unfortunately, the size of video streaming P2P network is usually very large, and evaluating the QoS

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Evaluation of the Power Demand for Economic Load Dispatch Problem Using Adaptive Neuro-Fuzzy Inference System and Artificial Neural Network

The evaluation of power demand is fundamental in the Economic Load Dispatch problem, ensuring that the generated power meets the needs of consumers reliably and efficiently in planning system operations.This paper presented two approaches using an Adaptive Neuro-Fuzzy Inference System (ANFIS) and an Artificial Neural Network (ANN) to evaluate the p

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Gaming Your Mental Health: A Narrative Review on Mitigating Symptoms of Depression and Anxiety Using Commercial Video Games

Globally, depression and anxiety are the two most prevalent mental health disorders.They occur both acutely and chronically, with various symptoms commonly expressed subclinically.The treatment gap and stigma associated with such mental health disorders are common issues encountered worldwide.Given the economic and health care service burden of men

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