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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
- 1st Edition - August 21, 2018
- Editors: Arun Kumar Sangaiah, Zhiyong Zhang, Michael Sheng
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 3 3 1 4 - 9
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 3 3 2 7 - 9
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimizat… Read more
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Request a sales quoteComputational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering.
It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful.
- Presents a brief overview of computational intelligence paradigms and its significant role in application domains
- Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches
- Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing
- Provides new advances in the fields of CI for bio-engineering application</LI></UL>
Researchers and PhD who want to understand and explore the application of computational intelligence aspects for design and development of data centric system in the context of multi-media cloud, big data era and its related applications such as smarter health care, homeland security, bioengineering systems, robotics and intelligent assistance etc.
- No. of pages: 362
- Language: English
- Edition: 1
- Published: August 21, 2018
- Imprint: Academic Press
- Paperback ISBN: 9780128133149
- eBook ISBN: 9780128133279
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Arun Kumar Sangaiah
Prof. Arun Kumar Sangaiah received his PhD from the School of Computer Science and Engineering, VIT University, Vellore, India. He is currently a Full Professor with National Yunlin University of Science and Technology, Taiwan. He is also a Professor at the School of Computing Science and Engineering, VIT University, Vellore, India. His areas of research interest include machine learning, Internet of Things, Sustainable Computing. He has published more than 300 research articles in refereed journals, 11 edited books, one patent (held and filed), as well as four projects funded by MOST-TAIWAN, one funded by Ministry of IT of India, and several international projects (CAS, Guangdong Research fund, Australian Research Council). Dr. Sangaiah has received many awards, Yushan Young Scholar, Clarivate Top 1% Highly Cited Researcher (2021,2022, 2023), Top 2% Scientist (Standord Report-2020,2021,2022, 2023), PIFI-CAS fellowship, Top-10 outstanding researcher, CSI significant Contributor etc. He is also serving as Editor-in-Chief and/or Associate Editor of various reputed ISI journals. Dr. Sangaiah is a visiting scientist (2018-2019) with Chinese Academy of Sciences (CAS), China and visiting researcher of Université Paris-Est (UPEC), France (2019-2020) and etc.
Affiliations and expertise
National Yunlin University of Science and Technology, TaiwanZZ
Zhiyong Zhang
Prof. Zhiyong Zhang received his Master, Ph.D. degrees in Computer Science from Dalian University of Technology and Xidian University, respectively. He was a Post-Doctoral Research Fellow at Xi'an Jiaotong University, China. He is currently a full Henan Province Distinguished Professor and Dean with Department of Computer Science, College of Information Engineering, Henan University of Science & Technology. Prof. Zhang is a visiting professor of Computer Science Department, Iowa State University.
He is an ACM Senior Member, IEEE Senior Member, IEEE Systems, Man, Cybernetics Society Technical Committee on Soft Computing, World Federation on Soft Computing Young Researchers Committee, Membership for Digital Rights Management Technical Specialist Workgroup Attached to China National Audio, Video, Multimedia System and Device Standardization Technologies Committee. Prof. Zhang’s research interests include multimedia social networks and digital rights management, applied soft computing, trusted computing, as well as security risk management. He has published over 80 scientific papers and four books on the above research fields, and held 8 granted patents.
Affiliations and expertise
Dean, Department of Computer Science, Henan University of Science and Technology, ChinaMS
Michael Sheng
Michael Sheng is a full Professor and Head of Department of Computing at Macquarie University, Sydney, Australia. Before moving to Macquarie University, Michael spent 10 years at School of Computer Science, the University of Adelaide (UoA). Prof. Sheng has more than 400 publications as edited books and proceedings, refereed book chapters, and refereed technical papers in journals and conferences. He is ranked by Microsoft Academic as one of the Top Authors in Services Computing (ranked the 5th of All Time worldwide). He is the recipient of the AMiner Most Influential Scholar Award on IoT (2007-2017), ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003).
Affiliations and expertise
Professor and Head of Department of Computing, Macquarie University, Sydney, AustraliaRead Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications on ScienceDirect