Big Data and Cloud Computing / Lecture Notes in Electrical Engineering Bd.1021 (PDF)
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The book presents papers from the 7th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2022). The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on addressing the current challenges in the field. This book discusses key issues and highlights recent advances in a single broad topic applicable to different sub-fields by exploring various multidisciplinary technologies. This book supports the transfer of vital knowledge to next-generation researchers, students, and practitioners in academia and industry.
Lipo Wang received a bachelor's degree from the National University of Defense Technology (China) and a Ph.D. from Louisiana State University (USA). He is presently on the faculty of the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence with applications to image/video processing, biomedical engineering, communications, control, and power systems. He has 350+ publications, a US patent in neural networks, and a patent in systems to his credit. He has co-authored 2 monographs and (co-)edited 15 books. He was Keynote Speaker for 36 international
Xavier Fernando is a Professor at the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada. He has (co-)authored over 200 research articles, and two books (one translated into Mandarin), and holds a few patents and non-disclosure agreements. He is the Director of Ryerson Communications Lab. He was an IEEE Communications Society Distinguished Lecturer and delivered close to over 50 invited talks and keynote presentations all over the world. His research interests are in signal processing for optical/wireless communication systems. He mainly focuses on physical and MAC layer issues. He has a special interest in underground communications systems of cognitive radio systems, visible light communications, and wireless positioning systems.
Ahmed F. Zobaa received his B.Sc. (Hons), M.Sc., and Ph.D. degrees in Electrical Power & Machines from Cairo University, Egypt, in 1992, 1997, and 2002, respectively. He received his Postgraduate Certificate in Academic Practice from the University of Exeter, the UK, in 2010. He received the Doctoral of Science from Brunel University London, the UK, in 2017. Currently, he is Reader in electrical and power engineering. His main areas of expertise include power quality, (marine) renewable energy, smart grids, energy efficiency, and lighting applications.
- 2023, 1st ed. 2023, 388 Seiten, Englisch
- Herausgegeben: Neelanarayanan Venkataraman, Lipo Wang, Xavier Fernando, Ahmed F. Zobaa
- Verlag: Springer Nature Singapore
- ISBN-10: 981991051X
- ISBN-13: 9789819910519
- Erscheinungsdatum: 10.06.2023
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- Größe: 10 MB
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