Mohamed Deep Learning-Powered Technologies

Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond
1. Auflage 2023
ISBN: 978-3-031-35737-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 205 Seiten

Reihe: eBColl Synthesis Collection 12

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Mohamed, Khaled Salah

Inhaltsverzeichnis

An introduction to Deep Learning.- Deep Learning for Autonomous Driving.- Deep Learning for IoT.- Deep Learning for Spatial Computing: Augmented Reality and Metaverse “The Digital Universe”.- Deep Learning for 5G and Beyond.- Python for Deep Learning: A General Introduction.

Über Autor(innen)

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.