Deep Learning-Powered Technologies : Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond

Khaled Salah Mohamed

ISBN 10: 3031357361 / ISBN 13: 9783031357367

Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2023

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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.

Codice articolo 9783031357367

Dati bibliografici

• Titolo: Deep Learning-Powered Technologies : Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond
• Editore: Springer Nature Switzerland, Springer Nature Switzerland
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3031357361
• ISBN 13: 9783031357367
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.