Enhancing Video Streaming with AI, Cloud, and Edge Technologies

Optimization Techniques and Frameworks
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Éditeur :

Springer

Paru le : 2025-03-27

This book explores how artificial intelligence, cloud computing, and edge technologies are transforming video streaming systems. It delves into AI-driven adaptive bitrate streaming, predictive resource allocation, and federated learning for personalized recommendations. The integration of cloud and ...
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Éditeur

Collection
n.c

Parution
2025-03-27

Pages
338 pages

EAN papier
9783031846502

Auteur(s) du livre


Dr. Mahmoud Darwich is an Assistant Professor of Computer Science at the University of Mount Union, Ohio, USA. He received his Bachelor’s degree from Beirut Arab University, Lebanon, in 2006. Subsequently, he completed his master’s and doctorate degrees in Computer Engineering from the University of Louisiana at Lafayette in 2013 and 2017, respectively.. His research focuses on artificial intelligence, cloud computing, and edge technologies for optimizing video streaming systems.   Dr. Magdy Bayoumi is a Life Fellow of IEEE and the Department Head of Electrical and Computer Engineering at the University of Louisiana at Lafayette. He earned his Ph.D. in Electrical Engineering from the University of Windsor, Canada. Dr. Bayoumi’s research spans VLSI design, digital signal processing, and wireless sensor networks. He is a recipient of several awards, including the IEEE Circuits and Systems Society Education Award.

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EAN PDF
9783031846519
Prix
200,44 €
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
9994 Ko
EAN EPUB
9783031846519
Prix
200,44 €
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
14356 Ko

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