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

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

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 ac...

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Bibliographic Details
Main Author: Fowdur, Tulsi Pawan (-)
Other Authors: Babooram, Lavesh
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2024.
Edition:1st ed. 2024.
Subjects:
Machine learning.
Artificial intelligence.
Programming languages (Electronic computers).
Machine Learning.
Artificial Intelligence.
Programming Language.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009835429306719
Table of Contents:
  • Chapter 1: Introduction to NTMA and VQA
  • Chapter 2: Network Traffic Monitoring and Analysis
  • Chapter 3: Video Quality Assessment
  • Chapter 4: Machine Learning Techniques for NTMA and VQA
  • Chapter 5: NTMA Application with JavaScript
  • Chapter 6: Video Quality Assessment Application Development with JavaScript
  • Chapter 7: NTMA and VQA Integration.

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