Machine Intelligence in Mechanical Engineering

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· Elsevier
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Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this interdisciplinary book will help readers explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods. Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve complex engineering tasks and driving efficiencies in the smart production line. Smart preventative maintenance systems can prevent machine downtime, smart monitoring and control can produce more effective workflows with less human intervention. - Provides detailed case studies of how machine intelligence has been used in mechanical engineering applications - Includes a basic introduction to machine learning algorithms and their implementation - Addresses innovative applications of AR/VR technology in mechanical engineering

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K. Palanikumar is a professor and principal at Sri Sai Ram Institute of Technology, Chennai, India. He has more than 25 years of experience in teaching and research. He received a “National Best Researcher Award from ISTE and published more than 100 papers in SCI Journals.

Elango Natarajan is a chartered mechanical engineer (CEng.), who specialized in mechanical engineering design, CAE, optimization, and soft robotics. He has worked for engineering colleges/universities for over 20 years in various academic positions.

S. Ramesh held various administrative positions in premier institutions including the Principal of the Engineering College, Head of the Department, etc. He is currently working as a Principal at Jerusalem College of Engineering, Chennai, India. In addition to his academic experience, he has 3 years of industrial experience.

Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.

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