Embracing Machines and Humanity Through Cognitive Computing and IoT | Agenda Bookshop Skip to content
Spring Savings - €5 off with every €30 spent on all books!
Spring Savings - €5 off with every €30 spent on all books!
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Mohammed Usman
B01=Xiao-Zhi Gao
Category1=Non-Fiction
Category=PBWH
Category=THR
Category=UYQ
Category=UYZG
COP=Singapore
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€50 to €100
PS=Active
softlaunch

Embracing Machines and Humanity Through Cognitive Computing and IoT

English

This 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 informationmaking the shop floor more cognitive through effective processing, analysis, and operational optimization. Now we are seeing the first-hand potential of cognitive computingits 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 informationmaking 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.  See more
Current price €92.69
Original price €102.99
Save 10%
Age Group_Uncategorizedautomatic-updateB01=Mohammed UsmanB01=Xiao-Zhi GaoCategory1=Non-FictionCategory=PBWHCategory=THRCategory=UYQCategory=UYZGCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Activesoftlaunch

Will deliver when available. Publication date 24 Mar 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 03 Mar 2024
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789811945243

About

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.   

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept