Innovative Computing (eBook, PDF)

Proceedings of the 5th International Conference on Innovative Computing (IC 2022)
Redaktion: Pei, Yan; Hung, Jason C.; Chang, Jia-Wei

• Format: PDF

Produktbeschreibung

This book comprises select proceedings of the 5th International Conference on Innovative Computing (IC 2022) focusing on cutting-edge research carried out in the areas of information technology, science, and engineering. Some of the themes covered in this book are cloud communications and networking, high performance computing, architecture for secure and interactive IoT, satellite communication, wearable network and system, infrastructure management, etc. The essays are written by leading international experts, making it a valuable resource for researchers and practicing engineers alike.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 1308
• Erscheinungstermin: 14. Oktober 2022
• Englisch
• ISBN-13: 9789811941320
• Artikelnr.: 66111013

Autorenporträt

Dr. Yan Pei obtained Doctor of Engineering at Kyushu University, Fukuoka, Japan. He received the B.Eng. and M.Eng. degrees from Northeastern University, Shenyang, China. He was a software engineer and software projector 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 chairs and organization committee members in many international conferences sponsored by IEEE, ACM, and other international associations. He is also serves as editor in many international journals. He is a member of IEEE SMC, IEEE CIS and Japanese society for evolutionary computation.  in Department of Computer Science and Information Engineering at National Taichung University of Science and Technology. Since January 2019, he is a Young Professionals Chair of theInstitution of Engineering and Technology (IET) - Taipei Network. Since 2017, he is a consultant of NEXCOM Industry 4.0 Innovation Center. During February to July 2018, he was an adjunct assistant professor in 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 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. Jason C. Hung is an Associate Professor of 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 BS and MS degrees in Computer Science and Information Engineering from Tamkang University, in 1996 and 1998, respectively. He also 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 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 Nov. 2014. From June 2015, He is Editor-in-Chief of International Journal of Cognitive Performance Support.

Inhaltsangabe

A deep learning-based approach for mammographic architectural distortion classification.- Developing an Accessibility Assessment System for Mobile Devices.- Design and Implementation of Online Teaching System for "Computer Foundation" Course Based on SSi Framework.- BIM Modeling and Simulation Method Based on Multi-agent and Its Application.- Design and application of personalized recommendation module for English writing marking system under theme model.