Fowdur T Machine Learning For Network Traffic and Video Quality Analysis 2024
Category: eBooks
- views: 116
- date: 22 June 2024
- posted by: BeMyLove
Fowdur T Machine Learning For Network Traffic and Video Quality Analysis 2024 | 20.95 MB
475 Pages
Title: Machine Learning For Network Traffic and Video Quality Analysis
Author: Tulsi Pawan Fowdur, Lavesh Babooram
Description:
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 jаvascript. jаvascript 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 existing applications and research within this domain. It also goes into the essentials of VQA and offers a survey of the latest developments in VQA algorithms. The book includes a thorough examination of machine learning algorithms that find application in both NTMA and VQA, with a specific emphasis on classification and prediction algorithms such as the Multi-Layer Perceptron and Support Vector Machine. The book also explores the software architecture of the NTMA client-server application. This architecture is meticulously developed using HTML, CSS, Node.js, and jаvascript. Practical aspects of developing the Video Quality Assessment (VQA) model using jаvascript and Java are presented. Lastly, the book provides detailed guidance on implementing a complete system model that seamlessly merges NTMA and VQA into a unified web application, all built upon a client-server paradigm.
By the end of the book, you will understand NTMA and VQA concepts and will be able to apply machine learning to both domains and develop and deploy your own NTMA and VQA applications using jаvascript and Node.js.
What You Will Learn
Who This Book Is For
Software professionals and machine learning engineers involved in the fields of networking and telecommunications
DOWNLOAD:
https://rapidgator.net/file/74ebf032c76fcfa6b776490787309ac9/Fowdur_T._Machine_Learning_For_Network_Traffic_and_Video_Quality_Analysis...2024.rar
https://k2s.cc/file/3e6734d0ffe81/Fowdur_T._Machine_Learning_For_Network_Traffic_and_Video_Quality_Analysis...2024.rar
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 jаvascript. jаvascript 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 existing applications and research within this domain. It also goes into the essentials of VQA and offers a survey of the latest developments in VQA algorithms. The book includes a thorough examination of machine learning algorithms that find application in both NTMA and VQA, with a specific emphasis on classification and prediction algorithms such as the Multi-Layer Perceptron and Support Vector Machine. The book also explores the software architecture of the NTMA client-server application. This architecture is meticulously developed using HTML, CSS, Node.js, and jаvascript. Practical aspects of developing the Video Quality Assessment (VQA) model using jаvascript and Java are presented. Lastly, the book provides detailed guidance on implementing a complete system model that seamlessly merges NTMA and VQA into a unified web application, all built upon a client-server paradigm.
By the end of the book, you will understand NTMA and VQA concepts and will be able to apply machine learning to both domains and develop and deploy your own NTMA and VQA applications using jаvascript and Node.js.
What You Will Learn
- What are the fundamental concepts, existing applications, and research on NTMA?
- What are the existing software and current research trends in VQA?
- Which machine learning algorithms are used in NTMA and VQA?
- How do you develop NTMA and VQA web-based applications using jаvascript, HTML, and Node.js?
Who This Book Is For
Software professionals and machine learning engineers involved in the fields of networking and telecommunications
DOWNLOAD:
https://rapidgator.net/file/74ebf032c76fcfa6b776490787309ac9/Fowdur_T._Machine_Learning_For_Network_Traffic_and_Video_Quality_Analysis...2024.rar
https://k2s.cc/file/3e6734d0ffe81/Fowdur_T._Machine_Learning_For_Network_Traffic_and_Video_Quality_Analysis...2024.rar
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||