Titlebook: Machine Learning For Network Traffic and Video Quality Analysis; Develop and Deploy A Tulsi Pawan Fowdur,Lavesh Babooram Book 2024 Tulsi Pa

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NTMA and VQA Integration,ation that addresses both network and video quality monitoring requirements, this chapter provides the full system model that bridges the gap between network activity analysis and video quality evaluation. The JavaScript codes and changes made to the Node.js server to accommodate real-time communica

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plains all processes and system models using intuitive diagr.This book offers both theoretical insights and hands-on experience in understanding and building machine learning-based Network Traffic Monitoring and Analysis (NTMA) and Video Quality Assessment (VQA) applications using JavaScript. JavaSc

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Video Quality Assessment,ct the VQA algorithm, as well as a review of current applications being used by telecommunications companies and operators. Additionally, an in-depth review of current VQA-based research is presented.

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Machine Learning Techniques for NTMA and VQA,classification used is the K-nearest neighbors (KNN) model. This chapter contains a thorough mathematical breakdown of all the algorithms coded in this book for both classification and prediction of network traffic metrics, together with the production of an MOS score for video quality.

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Video Quality Assessment Application Development with JavaScript,ng are examples of artifacts against which the blind/reference-less image spatial quality evaluator (BRISQUE) is applied. This chapter therefore elaborates on how JavaScript is used to build a robust, reliable, and real-time VQA framework.

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Book 2024d Analysis (NTMA) and Video Quality Assessment (VQA) applications using JavaScript. JavaScript provides the flexibility to deploy these applications across various devices and web browsers...?..The book begins by delving into NTMA, explaining fundamental concepts and providing an overview of existin

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Network Traffic Monitoring and Analysis,ecommunications operators. Moreover, an overview of NTMA approaches for categorizing and forecasting network traffic is also given. This chapter thus focuses on the theoretical aspects of the framework upon which the NTMA proceedings in this book are based.

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https://doi.org/10.1007/979-8-8688-0354-3Network Traffic Analysis; Video Quality; Machine Learning; JavaScript; Deep Learning; Artificial intellig