Academic Press Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning

Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning is an international contributed work with the most up-to-date fundamentals and conventional methods used in smart electrical and mechanical systems. Detailing methods and procedures for the application of ML and AI, it is supported with illustrations of the systems, process diagrams visuals of the systems and/or their components, and supportive data and results leading to the benefits and challenges of the relevant applications. The multidisciplinary theme of the book will help researchers build a synergy between electrical and mechanical engineering systems. The book guides readers on not only how to effectively solve problems but also provide high accuracy needed for successful implementation. Interdisciplinary in nature, the book caters to the needs of the electrical and mechanical engineering industry by offering details on the application of AI and ML in robotics, design and manufacturing, image processing, power system operation and forecasting with suitable examples. Review A multidisciplinary reference on AI and machine learning to help researchers build synergy between electrical and mechanical engineering systems From the Back Cover <i>Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning</i> is an international contributed work covering the most up-to-date fundamentals and conventional methods used in smart electrical and mechanical systems.<br><br>Detailing methods and procedure for application of ML and AI, it is supported with illustrations of the systems, process diagrams visuals of the systems and/or components of the systems, and supportive data and results leading to benefits and challenges of the relevant applications. Guiding readers on not only how to effectively solve the problems but also provide high accuracy needed for successful implementation. Interdisciplinary in nature, this book caters to the needs of electrical and mechanical engineering industry by offering details on the application of AI and ML in robotics, design and manufacturing, image processing, power system operation and forecasting with suitable examples. Research scholars will get an overview of various methodologies available for handling different level of problems and can apply the appropriate one to their research problems which will help them in furthering their research activities. The multidisciplinary theme helps researchers build a synergy between electrical and mechanical engineering systems. About the Author Rakesh Sehgal is a Professor (Higher Academic Grade) at the National Institute of Technology Srinagar (J&K), India. He is an outstanding leader with sustained international acclaim for his work on synthesis and characterization (mechanical, metallurgical/metallographic, and tribological) of materials for aerospace, automobile, and bio-medical applications. Dr. Sehgal has investigated various materials such as adamite, piston alloys, stir cast aluminum-silicon alloys (hyper and hypo-eutectoid), copolymers, titanium alloys, tool & die steels, polymers, and nano-composites for machining parameters optimization and tribological behaviour. Prof. Sehgal served as Vice-President of Indian Society of Theoretical & Applied Mechanics (ISTAM) during 2001-2003, Executive member of Tribology Society of India (TSI) for 02 terms, and member of academic bodies of many other institutions. He has chaired technical sessions in many prestigious International and National Conferences. Prof. Sehgal received the Best Teacher Award for the year 2006-07. He is instrumental in introducing the concept of Project-Based Learning in NIT Hamirpur which has benefitted a large number of UG students in securing admissions in prestigious International Universities for MS/Ph.D. Prof. Sehgal has a distinguished career of 35 years in the field,