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Deep Learning-Powered Technologies: Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond 2023 ed. [Pehme köide]

  • Formaat: Paperback / softback, 205 pages, kõrgus x laius: 240x168 mm, 134 Illustrations, color; 31 Illustrations, black and white; XIII, 205 p. 165 illus., 134 illus. in color., 1 Paperback / softback
  • Sari: Synthesis Lectures on Engineering, Science, and Technology
  • Ilmumisaeg: 12-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031357396
  • ISBN-13: 9783031357398
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  • Pehme köide
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  • Formaat: Paperback / softback, 205 pages, kõrgus x laius: 240x168 mm, 134 Illustrations, color; 31 Illustrations, black and white; XIII, 205 p. 165 illus., 134 illus. in color., 1 Paperback / softback
  • Sari: Synthesis Lectures on Engineering, Science, and Technology
  • Ilmumisaeg: 12-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031357396
  • ISBN-13: 9783031357398
Teised raamatud teemal:

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.

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.
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.