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Innovations in Computer Vision and Data Classification

From Pandemic Data Analysis to Environmental and Health Monitoring
BookHardcover
Ranking36789in
CHF178.00

Description

This book delves into the dynamic realm of data classification, focusing on its real-world applications. Additionally, the book delves into environmental data classification, energy-efficient solutions for deep neural network applications, and real-time performance analysis of energy conversion algorithms.
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Details

ISBN/GTIN978-3-031-60139-2
Product TypeBook
BindingHardcover
PublisherSpringer
Publishing date06/08/2024
Edition2024
SeriesEAI/Springer Innovations in Communication and Computing
Pages164 pages
LanguageEnglish
SizeWidth 160 mm, Height 241 mm, Thickness 15 mm
Weight418 g
Article no.50147681
CatalogsBuchzentrum
Data source no.47512182
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Author

Dr. Arfan Ghani currently serves as an Associate Professor in Computer Science and Engineering at the American University of Ras al Khaimah, UAE. He attained academic qualifications and gained valuable experience from UK institutions, including Ulster, Coventry, and Newcastle. Dr Ghani's industrial research and development expertise spans various roles at Intel Research, the University of Cambridge, and Microchip Denmark. With extensive applied research experience, he has made significant contributions to leading journals and conferences and successfully secured substantial collaborative funding from prestigious entities such as EPSRC, EU, Innovate UK, the Royal Academy of Engineering, and the German Aerospace Centre. Dr. Ghani actively engages in scholarly activities, serving as an Associate Editor for Elsevier Neurocomputing, Guest Editor, and Technical Programme Committee member for numerous IEEE/IET conferences. His contributions to the field have been acknowledged with several awards, including the Best Paper award from the European Neural Network Society in 2007. Dr. Ghani specializes in Computer Vision-based healthcare diagnostics, AI chip design, and reconfigurable hardware accelerators for machine learning and deep neural network architectures. His expertise in these areas has led to groundbreaking advancements in applying technology to solve critical healthcare challenges. Dr. Ghani is a distinguished member of the Institution of Engineering and Technology (IET), a Chartered Engineer (CEng), and a Fellow of the Higher Education Academy in the UK.

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