Deep Learning for Object Detection and Localization

,

Éditeur :

Springer

Paru le : 2026-02-02

In the ever-evolving field of computer vision, "Deep Learning for Object Detection and Localization" serves as an indispensable resource for researchers, practitioners, and students alike. This comprehensive book delves into the latest advancements and methodologies in deep learning, specifically ta...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
158,24
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos


Éditeur

Collection
n.c

Parution
2026-02-02

Pages
187 pages

EAN papier
9789819548453

Dr. Abdussalam Elhanashi is a Senior Researcher at the Università di Pisa, Italy, specializing in advanced applications of deep learning and video image processing. He holds an M.Sc. in Electronics and Electrical Engineering from the University of Glasgow, Scotland, and an MBA from the University of Nicosia, Cyprus. He earned his Ph.D. in Information Engineering from the Università di Pisa, Italy funded by a prestigious merit-based scholarship from the Islamic Development Bank (IsDB) as Libya’s top candidate for 2019–2020. Dr. Elhanashi was ranked among Stanford University and Elsevier’s World’s Top 2% Scientists for 2025. He has authored and co-authored numerous scientific articles and academic books indexed in Scopus and the Web of Science. In 2021, he served as a Research Fellow at the University of Strathclyde, applying deep learning models to analyse CT scans and X-ray images for medical diagnostics. In 2022, he was a Visiting Researcher at Hiroshima University, Japan, focusing on advanced video analysis techniques. With over 16 years of industry experience, Dr. Elhanashi has successfully managed engineering projects, conducted system maintenance, and performed root cause analyses to address complex technical challenges. He is also a Developer at the Society for Imaging Informatics in Medicine (SIIM), USA. His research interests include real-world AI applications, lightweight model development, video surveillance, IoT-based low-cost embedded systems, AI-driven solutions for medical imaging, and efficient coding techniques for image and video processing systems.   Prof. Sergio Saponara, Director of the Department of Information Engineering at the University of Pisa, IEEE Distinguished Lecturer, obtained his Master's degree cum laude and Ph.D. in Electronic Engineering from the University of Pisa. In 2002, he was a Marie Curie Research Fellow at the Inter-university Microelectronics Center (IMEC) in Leuven, Belgium. He was also a post-graduate researcher at the National Research Council. Currently, he is a Full Professor of Electronics at the University of Pisa, where he teaches courses in Design of IoT Systems, Electronic Systems for Robotics, HW and Embedded Security for the Master's degrees in Electronic Engineering, Robotics and Automation Engineering, and Cybersecurity. Additionally, he teaches Electronics at the Italian Naval Academy in Livorno. Prof. Saponara was President of the Bachelor's and Master's programs in Electronic Engineering at the University of Pisa. He has co-authored 600 scientific articles indexed in Scopus and 20 patents. He is a Founding Member of the IoT CASS SiG and has been a Program Committee Member for over 100 international IEEE and SPIE

Caractéristiques détaillées - droits

EAN PDF
9789819548460
Prix
158,24 €
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
6984 Ko
EAN EPUB
9789819548460
Prix
158,24 €
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
8294 Ko

Suggestions personnalisées