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Deep Learning in Computer Vision
ISBN/GTIN

Deep Learning in Computer Vision

Principles and Applications
BuchGebunden
Verkaufsrang522390inEnglish Non Fiction A-Z
CHF140.00

Beschreibung

This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community.
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Details

ISBN/GTIN978-1-138-54442-0
ProduktartBuch
EinbandGebunden
Verlag
Erscheinungsdatum07.04.2020
Seiten322 Seiten
SpracheEnglisch
Artikel-Nr.50735662
WarengruppeEnglish Non Fiction
DetailwarengruppeEnglish Non Fiction A-Z
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Autor

Mahmoud Hassaballah received the Doctor of Engineering (D. Eng.) in Computer Science from Ehime University, Japan in 2011. He was a visiting scholar with the Department of Computer & Communication Science, Wakayama University, Japan and GREAH laboratory, Le Havre Normandie University, France. He is currently an Associate Professor of Computer Science at the Faculty of Computers and Information, South Valley University, Egypt. His research interests include feature extraction, object detection/recognition, artificial intelligence, biometrics, image processing, computer vision, machine learning, and data hiding.

Ali Ismail Awad is currently an Associate Professor (Docent) with the Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden, where he also serves as a Coordinator of the Master Programme in Information Security. He is a Visiting Researcher with the University of Plymouth, United Kingdom. He is also an Associate Professor with the Electrical Engineering Department, Faculty of Engineering, Al-Azhar University at Qena, Qena, Egypt. His research interests include information security, Internet-of-Things security, image analysis with applications in biometrics and medical imaging, and network security.