Deep Learning Applications and Intelligent Decision Making in Engineering (Advances in Computational Intelligence and Robotics) - Hardcover
Synopsis
"This book explores the application of deep learning in building a smart world, ranging from smart cities, smart agriculture to smart homes"--
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About the Author
Karthikrajan Senthilnathan was born in 1991.He received his Masters in the field of Power Systems and Engineering from Anna University in 2014 and Under Graduate in the field of Electrical and Electronics Engineering from Anna University in 2012. His research interests include Active power filters, Power Quality Enhancement. - See more at: http: //orcid.org/0000-0002-6883-3821
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Deep Learning Applications and Intelligent Decision Making in Engineering
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Condition: New. Provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is designed for engineers, computer sci. Seller Inventory # 448342011
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Buch. Condition: Neu. Deep Learning Applications and Intelligent Decision Making in Engineering | Karthikrajan Senthilnathan (u. a.) | Buch | Gebunden | Englisch | 2020 | Engineering Science Reference | EAN 9781799821083 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Seller Inventory # 119399205
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines. Seller Inventory # 9781799821083
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