Produkt
KlappentextThis book comprises select peer-reviewed proceedings of the 6th International Conference on Innovative Computing (IC 2023). The contents focus on communication networks, business intelligence and knowledge management, web intelligence, and fields related to the development of information technology. The chapters include contributions on various topics such as databases 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. This volume will serve as a comprehensive overview of the latest advances in information technology for those working as researchers in both academia and industry.
Dr. Jason C. Hung is a 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. In 2013, he served as Hon Treasurer of IET Taipei LN. In April 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.
Dr. Jia-Wei Chang is an Associate Professor 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 the Institution 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 his 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. Yan Pei obtained his Doctor of Engineering at Kyushu University, Japan. He received his B.Eng. and M.Eng. degrees from Northeastern University, China. He was a software engineer and software projector manager in Chinese and German IT industries for several years before entering academia. 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 serving as editors in many international journals. He is a member of IEEE SMC, IEEE CIS and Japanese society for evolutionary computation.
Dr. Jason C. Hung is a 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. In 2013, he served as Hon Treasurer of IET Taipei LN. In April 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.
Dr. Jia-Wei Chang is an Associate Professor 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 the Institution 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 his 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. Yan Pei obtained his Doctor of Engineering at Kyushu University, Japan. He received his B.Eng. and M.Eng. degrees from Northeastern University, China. He was a software engineer and software projector manager in Chinese and German IT industries for several years before entering academia. 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 serving as editors in many international journals. He is a member of IEEE SMC, IEEE CIS and Japanese society for evolutionary computation.
Details
Weitere ISBN/GTIN9789819920921
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2023
Erscheinungsdatum30.04.2023
Auflage1st ed. 2023
Reihen-Nr.1044
Seiten1026 Seiten
SpracheEnglisch
IllustrationenXVI, 1026 p. 336 illus., 186 illus. in color.
Artikel-Nr.11236466
Rubriken
Genre9200