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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Detalles Bibliográficos
Autor principal: Fowdur, Tulsi Pawan (-)
Otros Autores: Babooram, Lavesh
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2024.
Edición:1st ed. 2024.
Materias:
Machine learning.
Artificial intelligence.
Programming languages (Electronic computers).
Machine Learning.
Artificial Intelligence.
Programming Language.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009835429306719
Tabla de Contenidos:
  • 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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