Machine Learning and Deep Learning in Real-Time Applications
Language: English
Published by Engineering Science Reference, 2020
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 243.82
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe. …
Seller Inventory # 9781799830962
- Title
- Machine Learning and Deep Learning in Real-Time Applications
- Author
- Mehul Mahrishi
- Publisher
- Engineering Science Reference
- Publication year
- 2020
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1799830969
- ISBN 13
- 9781799830962
- Item weight
- 935 grams
- Dimensions
- 280x216x20 mm
Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.
"Synopsis" may belong to another edition of this title.
About the Author
Kamal Hiran has over 18 years of experience in academia, research, and administration in Asia, Africa, Europe, and North America. Currently he is working as Associate Professor in the School of Computer Science and IT, Symbiosis University of Applied Sciences, Indore, India and Adjunct Research Fellow at the Aalborg University, Copenhagen, Denmark. He has published 15 International books with repute publishers like BPB Publications, IGI Global, De Gruyter from India, Germany, USA, UK. He has made significant contributions to our society's technological transformation. He has several awards to his credit such as International travel grant for attending the IEEE Region 8 Committee Meeting at Warsaw, Poland; International travel grant for Germany from ITS Europe, Passau, Germany; Best Research Paper Award at the University of Gondar, Ethiopia; IEEE Liberia Subsection Founder Award; Gold Medal Award in MTech (Hons.); IEEE Ghana Section Award-Technical and Professional Activity Chair; IEEE Senior Member Recognition, Best IEEE Student Branch Award, Elsevier Reviewer Recognition Award. He has published 75 scientific research papers in SCI/Scopus/Web of Science and IEEE Transactions Journal, conferences, 2 Indian Patents, 1 Australian Patent Grants. He has made several international visits to Denmark, Sweden, Germany, Norway, Ghana, Liberia, Ethiopia, Russia, Dubai, Mexico, and Jordan for research exposures. His research interests focus on Artificial Intelligence, Cloud-edge computing, Machine-deep learning and Intelligent IoT.
"About the title" may belong to another edition of this title.
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