Deep Learning-Powered Technologies

Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond
2023
ISBN: 978-3-031-35739-8
Verlag: Springer Nature Switzerland

Buch, Englisch, 205 Seiten, Format (B × H): 168 mm x 240 mm, Gewicht: 384 g

Reihe: Synthesis Lectures on Engineering, Science, and Technology

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

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

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.