Frontier Computing / Lecture Notes in Electrical Engineering Bd.747 (PDF)
Proceedings of FC 2020
(Sprache: Englisch)
This book gathers the proceedings of the 10th International Conference on Frontier Computing, held in Singapore, on July 10-13, 2020, and provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering....
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Produktinformationen zu „Frontier Computing / Lecture Notes in Electrical Engineering Bd.747 (PDF)“
This book gathers the proceedings of the 10th International Conference on Frontier Computing, held in Singapore, on July 10-13, 2020, and provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, web intelligence, and related fields that inspire the development of information technology. The respective contributions cover a wide range of topics: database and data mining, networking and communications, web and Internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions, and the book benefits students, researchers, and professionals alike. Further, it offers a useful reference guide for newcomers to the field.
Autoren-Porträt
Dr. Jia-Wei Chang is an Assistant Professor of the Department of Computer Science and Information Engineering at National Taichung University of Science and Technology, Taiwan, ROC. During February to July 2018, he was an Adjunct Assistant Professor in the Department of Engineering Science at National Cheng Kung University. He was a Data Scientist and Project Manager at IoT BU, Nexcom, during 2016-2017. He received the Ph.D. degree from the Department of Engineering Science, National Cheng Kung University, in 2017. His research interests include natural language processing, Internet of things, artificial intelligence, data mining, and e-learning technologies.Dr. Neil Y. Yen is an Associate Professor at the University of Aizu, Japan. Dr. Yen received doctorates in Human Sciences (major in Human Informatics) at Waseda University, Japan, and in Engineering (major in Computer Science) at Tamkang University, Taiwan, in March and June 2012, respectively. His doctor degree at Waseda University was funded by the JSPS (Japan Society for the Promotion of Science) under RONPAKU program. Dr. Yen has actively involved himself in the international activities, including editorial works in journals and books, society services in academic conferences sponsored by IEEE/ACM, etc., and devoted himself to discover advanced and interesting research directions. Dr. Yen has been engaged in the interdisciplinary realms of research, and his research interests are now primarily in the scope of human-centered computing and big data.
Dr. Jason C. Hung is an Associate Professor of the Department of Computer Science and Information Engineering at National Taichung University of Science and Technology, Taiwan, ROC. His research interests include multimedia computing and networking, e-learning, web service, and anticipatory computing. Dr. Hung received his B.S. and M.S. degrees in Computer Science and Information Engineering from Tamkang University, in 1996 and 1998, respectively. He also
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received his Ph.D. in Computer Science and Information Engineering from Tamkang University in 2001. Dr. Hung has published over 140 papers and book chapters, as well as participated in many international academic activities, including the organization of many international conferences. He is the founder of the International Conference on Frontier Computing. In 2013, He served as Hon Treasurer of IET Taipei LN. In April of 2014, he was elected as Fellow of the Institution of Engineering and Technology (FIET). He was elected as Vice Chair of IET Taipei LN in November 2014. From June 2015, he is Editor-in-Chief of the International Journal of Cognitive Performance Support.
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Bibliographische Angaben
- 2022, 1st ed. 2021, 2443 Seiten, Englisch
- Herausgegeben: Jia-Wei Chang, Neil Yen, Jason C. Hung
- Verlag: Springer Nature Singapore
- ISBN-10: 9811601151
- ISBN-13: 9789811601156
- Erscheinungsdatum: 01.01.2022
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eBook Informationen
- Dateiformat: PDF
- Größe: 47 MB
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Sprache:
Englisch
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