Deep Learning-powered Technologies: Autonomous Driving, Artificial Intelligence of Things Aiot, Augmented Reality, 5g Communications and Beyond

Mohamed, Khaled Salah

ISBN 10: 3031357361 / ISBN 13: 9783031357367

Edité par Springer Nature, 2023

A propos de cet article

218 pages. 9.45x6.61x0.71 inches. In Stock.

N° de réf. du vendeur x-3031357361

Détails bibliographiques

• Titre: Deep Learning-powered Technologies: Autonomous Driving, Artificial Intelligence of Things Aiot, Augmented Reality, 5g Communications and Beyond
• Éditeur: Springer Nature
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 3031357361
• ISBN à 13 chiffres: 9783031357367
• Reliure: Hardcover
• État de l'article: Brand New

A propos de ce titre

Synopsis

This book covers various, leading-edge deep learning technologies. The author discusses new applications of deep learning and gives insight into the integration of deep learning with various application domains, such as autonomous driving, augmented reality, AIOT, 5G and beyond.

À propos de l?auteur

Khaled Salah Mohamed attended the school of engineering, Department of Electronics and Communications at Ain-Shams University from 1998 to 2003, where he received his B.Sc. degree in Electronics and Communications Engineering with distinction and honors. He received his Master's degree in Electronics from Cairo University, Egypt in 2008. He received his PhD degree in 2012. Dr. Khaled Salah is currently an Applications Engineering Consultant for Siemens Digital Industries Software, in Freemont, CA. Dr. Khaled Salah has published a large number of papers in in the top refereed journals and conferences. His research interests are in 3D integration, IP Modeling, and SoC design.