Confluence of Artificial Intelligence and Robotic Process Automation
Language: English
Published by Springer, 2024
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - This book provides a detailed insight into Robotic Process Automation (RPA) technologies linked with AI that will help organizations implement Industry 4.0 procedures. RPA tools enhance their functionality by incorporating AI objectives, such as use of artificial neural network algorithms, text mining techniques, and natural language processing techniques for information extraction and the subsequent process of optimization and forecasting scenarios for the purpose of improving an organization's operational and business processes. The target readers of this book are researchers, professors, graduate students, scientists, policymakers, professionals, and developers working in the IT and ITeS sectors, i.e. people who are working on emerging technologies. This book also provides insights and decision support tools necessary for executives concerned with different industrial and organizational automation-centric jobs, knowledge dissemination, information, and policy development for automation in different educational, government, and non-government organizations. This book is of special interest to college and university educators who teach AI, machine learning, blockchain, business intelligence, cognitive intelligence, and brain intelligence courses in different capacities.…
Seller Inventory # 9789811982989
- Title
- Confluence of Artificial Intelligence and Robotic Process Automation
- Author
- Debashis De
- Publisher
- Springer
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9811982988
- ISBN 13
- 9789811982989
- Item weight
- 645 grams
- Dimensions
- 235x155x24 mm
This book provides a detailed insight into Robotic Process Automation (RPA) technologies linked with AI that will help organizations implement Industry 4.0 procedures. RPA tools enhance their functionality by incorporating AI objectives, such as use of artificial neural network algorithms, text mining techniques, and natural language processing techniques for information extraction and the subsequent process of optimization and forecasting scenarios for the purpose of improving an organization's operational and business processes. The target readers of this book are researchers, professors, graduate students, scientists, policymakers, professionals, and developers working in the IT and ITeS sectors, i.e. people who are working on emerging technologies. This book also provides insights and decision support tools necessary for executives concerned with different industrial and organizational automation-centric jobs, knowledge dissemination, information, and policy development for automation in different educational, government, and non-government organizations. This book is of special interest to college and university educators who teach AI, machine learning, blockchain, business intelligence, cognitive intelligence, and brain intelligence courses in different capacities.
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About the Author
Dr. Jyoti Sekhar Banerjee, B.Tech, M.E, Ph.D. (Engg.), is currently serving as the Head of the Department in the Computer Science and Engineering (AI & ML) Department at the Bengal Institute of Technology, Kolkata, India and visiting researcher (Post Doc) at Nottingham Trent University, UK. Additionally, He is also the Professor-in-Charge, R & D and Consultancy Cell of BIT. He has teaching and research experience spanning 18 years and completed one IEI funded project. He is a life member of the CSI, IEEE, ISTE, IEI, ISOC, IAENG and fellow of IETE. He is the present honorary Secretary-cum-Treasurer, of the ISTE WB Section. He is the current honorary Secretary of the Computer Society of India, Kolkata Chapter. He is also the Executive Committee Member of the IETE, Kolkata Centre. He has published over fifty papers in various international journals, conference proceedings, and book chapters. He is the lead author of “A Text Book on Mastering Digital Electronics: Principle, Devices, and Applications”. He has also co-authored another book and is currently processing six edited books in reputed international publishers like Springer, CRC Press, De Gruyter, etc. Presently he is also processing two more textbooks; those are now in press. His areas of research interests include Computational Intelligence, Cognitive Radio, Sensor Networks, AI/ML, Network Security, Different Computing Techniques, IoT, WBAN (e-healthcare), Expert Systems.
Debashis De is a professor in the Department of Computer Science and Engineering and the director of School of Computational Science of MAKAUT, WB, India. He received M.Tech from the University of Calcutta, 2002, and a Ph.D. from Jadavpur University in 2005. He is a senior member-IEEE, fellow IETE, and life member CSI. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Herriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award from 2008–2009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist Award both in 2005 at New Delhi and in 2011 in Istanbul, Turkey, from the International Union of Radio Science, Belgium. In 2016, he received the JC Bose research award by IETE, New Delhi. In 2019, he received Siksha Ranta Award by the Govt. of West Bengal. He established the "Centre of Mobile cloud computing" (CMCC) for IoT applications. He published 310 journals and 100 conference papers, fifteen books, and filed eight patents. His h index is 31, citation 5000.Listed in Top 2% Scientist List of the world, Stanford University, USA.
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