Bookshelf

| browse books |
books
 

| book details |

Machine Learning For Network Traffic and Video Quality Analysis: Develop and Deploy Applications Using JavaScript and Node.js

By (author) Tulsi Pawan Fowdur, By (author) Lavesh Babooram

| on special |

normal price: R 1 707.95

Price: R 1 536.95


| book 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 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 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 JavaScript. Practical aspects of developing the Video Quality Assessment (VQA) model using JavaScript 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 JavaScript 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 JavaScript, HTML, and Node.js?   Who This Book Is For Software professionals and machine learning engineers involved in the fields of networking and telecommunications

| product details |



Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | APress
Published date | 20 Jun 2024
Language |
Format | Paperback / softback
Pages | 465
Dimensions | 254 x 178 x 0mm (L x W x H)
Weight | 0g
ISBN | 979-8-8688-0353-6
Readership Age |
BISAC | mathematics / probability & statistics / general


| other options |


| your trolley |

To view the items in your trolley please sign in.

| sign in |

| specials |

Broken Country: AMAZON'S BOOK OF THE YEAR - THE MILLION-COPY BESTSELLER

Clare Leslie Hall
Paperback / softback
320 pages
was: R 395.95
now: R 355.95
Usually dispatched in 6-12 days

An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?

Theory & Practice

Michelle de Kretser
Hardback
192 pages
was: R 415.95
now: R 373.95
Available from overseas. Dispatched in aprox 4-8 weeks as local supplier is out of stock


Exiles: Times book of the month 'Stanley Kubrick meets MR James'

Mason Coile
Paperback / softback
224 pages
was: R 520.95
now: R 468.95
Forthcoming

A terrifying locked-room mystery set in a remote outpost on Mars.

The Correspondent

Virginia Evans
Hardback
288 pages
was: R 552.95
now: R 497.95
Available from overseas. Usually dispatched in 14 days