Druck auf Anfrage Neuware - Printed after ordering - 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.

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Bibliographic Details

Title: Deep Learning-Powered Technologies : Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond
Publisher: Springer Nature Switzerland, Springer Nature Switzerland
Publication Date: 2023
Language: English
ISBN 10: 3031357361
ISBN 13: 9783031357367
Binding: Buch
Condition: Neu
Dimensions: 246 millimeters width by 173 millimeters height by 18 millimeters depth
Weight: 560 grams

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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.

About the Author

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.

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