Produkt
KlappentextThis book sheds light on systems that learn extensively, with purpose and naturally interact with humans. Improving operations and increasing competitive differentiation among manufacturing organizations by harnessing the power of cognitive abilities, IoT can help build and influence the flow of information-making the shop floor more cognitive through effective processing, analysis, and operational optimization. Now we are seeing the first-hand potential of cognitive computing-its ability to transform businesses, governments, and society. The real potential of the cognitive age can be realized by combining data analysis and statistical reasoning of machines with uniquely human qualities, such as self-directed goals, common sense, and moral values, improving operations and increasing competitive differentiation among manufacturing organizations. By harnessing the power of cognitive abilities, IoT can help build and influence the flow of information-making the shop floor more cognitive through effective processing, analysis, and operational optimization. Cognitive initiatives come in all shapes and sizes, from change to strategy and everything in between. What most successful projects have in common, no matter how ambitious, is they start with a clear view of what technology can do. Therefore, the first job of a cognitive scientists is to gain a firm understanding of cognitive abilities, as presented in this book.
Mohammed Usman received his Ph.D. from University of Strathclyde, UK. He has more than a decade of experience in academics and academic administration. He is a senior member of IEEE and IEEE Communications Society. He has been the TPC chair and the organizing chair for IEEE conferences and actively involved in IEEE activities. He is currently working as an assistant professor in the department of Electrical Engineering at King Khalid University, Saudi Arabia. He received the academic excellence award from the College of Engineering at King Khalid University and also received the award for best project in 2016. A senior design project under his supervision received the talent and innovation award in 2018. His research is focused on technologies for next-generation wireless networks, signal processing for biomedical application, probabilistic modelling, and channel coding.
Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland, in 1999. He has been working as a professor at the University of Eastern Finland, Finland, since 2018. He is also a guest professor at the Harbin Institute of Technology, Beijing Normal University, and Shanghai Maritime University, China. Prof. Gao has published more than 400 technical papers in refereed journals and international conferences. His research interests are nature-inspired computing methods with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.
Mohammed Usman received his Ph.D. from University of Strathclyde, UK. He has more than a decade of experience in academics and academic administration. He is a senior member of IEEE and IEEE Communications Society. He has been the TPC chair and the organizing chair for IEEE conferences and actively involved in IEEE activities. He is currently working as an assistant professor in the department of Electrical Engineering at King Khalid University, Saudi Arabia. He received the academic excellence award from the College of Engineering at King Khalid University and also received the award for best project in 2016. A senior design project under his supervision received the talent and innovation award in 2018. His research is focused on technologies for next-generation wireless networks, signal processing for biomedical application, probabilistic modelling, and channel coding.
Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland, in 1999. He has been working as a professor at the University of Eastern Finland, Finland, since 2018. He is also a guest professor at the Harbin Institute of Technology, Beijing Normal University, and Shanghai Maritime University, China. Prof. Gao has published more than 400 technical papers in refereed journals and international conferences. His research interests are nature-inspired computing methods with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.
Details
Weitere ISBN/GTIN9789811945229
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2023
Erscheinungsdatum01.03.2023
Auflage2023
Seiten130 Seiten
SpracheEnglisch
IllustrationenX, 130 p. 71 illus., 53 illus. in color.
Artikel-Nr.9517825
Rubriken
Genre9200