Proceedings of International Conference on Deep Learning, Computing and Intelligence (eBook)

ICDCI 2021
Artikelnummer: 978-981-1656-52-1
Einband: PDF
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This book gathers selected papers presented at the International Conference on Deep Learning, Computing and Intelligence (ICDCI 2021), organized by Department of Information Technology, SRM Institute of Science and Technology, Chennai, India, during January 7-8, 2021. The conference is sponsored by Scheme for Promotion of Academic and Research Collaboration (SPARC) in association with University of California, UC Davis and SRM Institute of Science and Technology. The book presents original research in the field of deep learning algorithms and medical imaging systems, focusing to address issues and developments in recent approaches, algorithms, mechanisms, and developments in medical imaging.
This book gathers selected papers presented at the International Conference on Deep Learning, Computing and Intelligence (ICDCI 2021), organized by Department of Information Technology, SRM Institute of Science and Technology, Chennai, India, during January 7-8, 2021. The conference is sponsored by Scheme for Promotion of Academic and Research Collaboration (SPARC) in association with University of California, UC Davis and SRM Institute of Science and Technology. The book presents original research in the field of deep learning algorithms and medical imaging systems, focusing to address issues and developments in recent approaches, algorithms, mechanisms, and developments in medical imaging.
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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2022
Seitenangabe701 S.
AusgabekennzeichenEnglisch
AbbildungenXXVI, 701 p. 241 illus., 174 illus. in color.
Masse14'905 KB
PlattformPDF
ReiheAdvances in Intelligent Systems and Computing; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics ; Springer Nature Proceedings excluding Computer Science
AutorManogaran, Gunasekaran (Hrsg.) / Shanthini, A. (Hrsg.) / Vadivu, G. (Hrsg.)

Alle Bände der Reihe "Advances in Intelligent Systems and Computing; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0); Springer Nature Proceedings excluding Computer Science"

Über den Autor Gunasekaran (Hrsg.) Manogaran

Gunasekaran Manogaran is currently working as a Big Data Scientist in Honward University, Washington DC, United States. He received his PhD from the Vellore Institute of Technology University, India. He received his Bachelor of Engineering and Master of Technology from Anna University and Vellore Institute of Technology University respectively. He has worked as a Research Assistant for a project on spatial data mining funded by Indian Council of Medical Research, Government of India. His current research interests include data mining, big data analytics and soft computing. He is the author/co-author of papers in conferences, book chapters and journals. He got an award for young investigator from India and Southeast Asia by Bill and Melinda Gates Foundation. He is a member of International Society for Infectious Diseases and Machine Intelligence Research labs.Nour Eldeen M. Khalifa received his B.Sc., M.Sc., and Ph.D. degree in 2006, 2009 and 2013 respectively, all from Cairo University, Faculty of Computers and Artificial Intelligence, Cairo, Egypt. He also had a Professional M.Sc. Degree in Cloud Computing in 2018. He authored/coauthored more than 30 publications and 2 edited books. He had more than 1700 citations. He reviewed several papers for international journals and conferences including (Scientific Reports, IEEE IoT, Neural Computing, Artificial Intelligence Review). Currently, he is an associate professor at Faculty of Computers and Artificial Intelligence, Cairo University. His research interests include wireless sensor networks, cryptography, multimedia, network security, machine, and deep learning. Mohamed Hamed N. Taha received the B.Sc., M.Sc., and Ph.D. degrees from the Faculty of Computers and Artificial Intelligence, Cairo University, in 2006, 2009, and 2013, respectively. He has been an Associate Professor with the Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, since 2016. He is a Reviewer of the IEEE INTERNET OF THINGS JOURNAL. Deep learning, machine learning, the Internet of Things, wireless sensor networks, and blockchain are his research interests.Mohamed Loey is currently an Associate Professor in the Faculty of Computers and Artificial Intelligence, Benha University. He is Associate professor seconded to Buraydah Colleges, Saudi Arabia. In 2021, he was a head and coordinator of information technology program in New Cairo Technological University, Egypt. He received the B.Sc., and M.Sc. degrees from the Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University in 2006, 2009, respectively. In 2008, he was an assistant lecturer in Sinai University. He received the PhD. degrees from the Computer Science Department, Faculty of Computers and Artificial Intelligence, Benha University in 2017. He is a reviewer in different international journals. He has published over 30 publications with over 1900 citations. He has several publications in reputed and high impact journals published by Elsevier, Springer, and others. His research interests include deep learning, machine learning, computer vision, image processing, big data, and computational neuroscience.

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