Experience reading like never before
Sign in to continue reading.
Discover and read thousands of books from independent authors across India
Visit the bookstore"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh PalDr. Nilesh Satyavijay Pohokar, B. E., M.Tech, Ph.D., is working as an Assistant Professor, Department of Mechanical Engineering, Prof. Ram Meghe Institute of Technology & Research (PRMIT&R), Badnera, S. G. B. Amravati University, Maharashtra with 20+ years of teaching experience and Industrial experience. He has 25+ publications, grant of 2 patents and 1 copyright. He published book on Fundamentals of He received IRDA Best Teacher Award 2022 and GEH International Best Research Award 2022. He is a member of IE, ISTE, IIIE.Read More...
Dr. Nilesh Satyavijay Pohokar, B. E., M.Tech, Ph.D., is working as an Assistant Professor, Department of Mechanical Engineering, Prof. Ram Meghe Institute of Technology & Research (PRMIT&R), Badnera, S. G. B. Amravati University, Maharashtra with 20+ years of teaching experience and Industrial experience. He has 25+ publications, grant of 2 patents and 1 copyright. He published book on Fundamentals of He received IRDA Best Teacher Award 2022 and GEH International Best Research Award 2022. He is a member of IE, ISTE, IIIE.
Read Less...Achievements
"Applications of Machine Learning Techniques in Mechanical Engineering" is a comprehensive guide that explores how machine learning techniques are transforming the field. It delves into practical applications across mechanical engineering, from design optimization and predictive maintenance to quality control and robotics. This book offers insights into real-world case studies, showcasing how machine learning is revolutionizing industries like automotive, aero
"Applications of Machine Learning Techniques in Mechanical Engineering" is a comprehensive guide that explores how machine learning techniques are transforming the field. It delves into practical applications across mechanical engineering, from design optimization and predictive maintenance to quality control and robotics. This book offers insights into real-world case studies, showcasing how machine learning is revolutionizing industries like automotive, aerospace, and manufacturing. It addresses the challenges and ethical considerations while providing a glimpse into future trends. With a balance of theory and practicality, it's a valuable resource for engineers, researchers, and students looking to harness the power of machine learning in mechanical engineering.
The present book is for the graduate level students of Mechanical, Production, and Industrial Engineering. The data and formulae in the book are presented in an easy to locate and use style.
Significant Features:
· Compact in size and fully compatible with textbook.
· Easy to refer and locate data
· Follow the SI
The present book is for the graduate level students of Mechanical, Production, and Industrial Engineering. The data and formulae in the book are presented in an easy to locate and use style.
Significant Features:
· Compact in size and fully compatible with textbook.
· Easy to refer and locate data
· Follow the SI system of units all through
· As per Indian Standards (IS)
· Well-segregated chapters for ease of use.
· Design formulae, symbols description and corresponding figures
appear on the same page
· Includes, figures and proportions etc.
Are you sure you want to close this?
You might lose all unsaved changes.
The items in your Cart will be deleted, click ok to proceed.