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Lecture Notes in Electrical Engineering

Innovative Computing

IC 2020

Editors: Yang, Chao-Tung, Pei, Yan, Chang, Jia-Wei (Eds.)

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  • Includes advanced studies and novel breakthroughs in frontier computing
  • Describes recent strides in the most advanced information technologies
  • Covers mainstream issues in computer science, including theories and applications of cloud computing, information security, big data, artificial intelligence, and more 
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  • ISBN 978-981-15-5959-4
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About this book

This book gathers peer-reviewed proceedings of the 3rd International Conference on Innovative Computing (IC 2020).

This book aims to provide an open forum for discussing recent advances and emerging trends in information technology, science, and engineering. Themes within the scope of the conference include Communication Networks, Business Intelligence and Knowledge Management, Web Intelligence, and any related fields that depend on the development of information technology. The respective contributions presented here cover a wide range of topics, from databases and data mining, networking and communications, the web and Internet of Things, to embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing.

Readers such as students, researchers, and industry professionals in the fields of cloud computing, Internet of Things, machine learning, information security, multimedia systems, and information technology benefit from this comprehensive overview of the latest advances in information technology.

The book can also benefit young investigators looking to start a new research program.   

About the authors

Dr. Chao-Tung Yang is Distinguished Professor of Computer Science at Tunghai University in Taiwan. He received his Ph.D. in Computer Science from National Chiao Tung University in July 1996. In August 2001, he joined the Faculty of the Department of Computer Science at Tunghai University. He is serving in a number of journal editorial boards, including Future Generation Computer Systems, International Journal of Communication Systems, KSII Transactions on Internet and Information Systems, and Journal of Cloud Computing. He has published more than 300 papers in journals, book chapters, and conference proceedings. His present research interests are in cloud computing, big data, parallel computing, and deep learning. He is a member of the IEEE Computer Society and ACM.

Dr. Yan Pei was born in Shenyang, China. He obtained Doctor of Engineering at Kyushu University, Fukuoka, Japan. He received the B.E. and M.E. degrees from Northeastern University, Shenyang, China. He was a Software Engineer and Software Project Manager in Chinese and German IT industries for several years before entering academic society. He is currently working at the University of Aizu as an Associate Professor. His research interests include evolutionary computation, machine learning, and software engineering. He serves as chair and organization committee member in many international conferences sponsored by IEEE, ACM, and other international associations. He is also serving as editor in many international journals. He is a member of IEEE SMC, IEEE CIS, and Japanese Society for Evolutionary Computation.

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. Since January 2019, he is a Young Professionals Chair of the Institution of Engineering and Technology (IET) – Taipei Network. 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.

Table of contents (230 chapters)

Table of contents (230 chapters)
  • A Computer-Aided Diagnostic System to Detect Polyp in Computed Tomographic Colonography Images

    Pages 1-9

    Zhan, Xiaoyu (et al.)

  • Image Classification Model Using Deep Learning on the Edge Device

    Pages 11-22

    Kristiani, Endah (et al.)

  • The Implementation of Facial Symmetry Assessment Before and After Orthognathic Surgery Using Transfer Learning

    Pages 23-33

    Zhang, Tianyi (et al.)

  • An Analysis of the Relationship Between Career Decision-Making Self-efficacy and Career Selection Anxiety of Senior Students

    Pages 35-44

    Ye, Jingbo

  • File Management Based on Decision System in Human Resource Optimization

    Pages 45-51

    Zhang, Jinxiang

Buy this book

eBook $44.99
price for USA in USD
  • ISBN 978-981-15-5959-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $59.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Innovative Computing
Book Subtitle
IC 2020
Editors
  • Chao-Tung Yang
  • Yan Pei
  • Jia-Wei Chang
Series Title
Lecture Notes in Electrical Engineering
Series Volume
675
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-5959-4
DOI
10.1007/978-981-15-5959-4
Hardcover ISBN
978-981-15-5958-7
Series ISSN
1876-1100
Edition Number
1
Number of Pages
XXIII, 1954
Number of Illustrations
185 b/w illustrations, 355 illustrations in colour
Topics