Deep Learning Applications and Intelligent Decision Making in Engineering

Deep Learning Applications and Intelligent Decision Making in Engineering

Karthikrajan Senthilnathan (Revoltaxe India Pvt Ltd, Chennai, India), Balamurugan Shanmugam (Quants IS & CS, India), Dinesh Goyal (Poornima Institute of Engineering and Technology, India), Iyswarya Annapoorani (VIT University, India) and Ravi Samikannu (Botswana International University of Science and Technology, Botswana)
Release Date: October, 2020|Copyright: © 2021 |Pages: 332
DOI: 10.4018/978-1-7998-2108-3
ISBN13: 9781799821083|ISBN10: 1799821080|EISBN13: 9781799821106|ISBN13 Softcover: 9781799821090
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Computer Vision
  • Cyber Physical Systems
  • Cyber Security
  • Decision Making
  • E-Commerce
  • Industry 4.0
  • Smart Agriculture
  • Smart Grids
  • Smart Transportation
  • Vehicle Parking Systems
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Editor Biographies
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
Ravi Samikannu is currently working as an Associate Professor, Electrical Engineering Department in Botswana International University of Science and Technology, Palapye, Botswana. Ravi Samikannu obtained his Ph.D. Degree in Electrical Engineering, from Anna University, Chennai, India. He has a total teaching experience of 14 years at under graduate and post graduate levels. At present 5 Ph.D and 4 Master students are doing research under his supervision. Three Ph.D students and 17 Master students completed their research work under his supervision. He has published 60 research papers in International Journals. He has presented 40 Papers in International and National Conferences, and has received the Best Paper Award two times for his presentation.
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