Paperback : £35.76
Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains.
The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals.
The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.
Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains.
The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals.
The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.
SECTION I: State of Art. 1. An Overview of Machine Learning Implementation in Various Industrial Scenarios- Agriculture, Healthcare and Enterprise. SECTION II: Application towards Mechanical Engineering. 2. Artificial Intelligence in Predciting the Optimized Wear Behavior Parameters of Sintered Titanium Grade 5 Reinforced with Nano B4C Particles. 3. Tribological Behaviour of AL7068-Alumina-B4C Hybrid Composites and Optimization with DEMATEL Technique. 4. A Comparison of ACO and GA for Routing AGVs Via C#. 5. Intelligent Control Design Schemes of a Two-Link Robotic Manipulator. 6. Maize Leaf Disease Detection and Classification Using Deep Learning. SECTION III: Application towards Industrial Engineering. 7. Inspectorate Patterns for Cell Recognition in Cellular Manufacturing. 8. Optimization of Operating Parameters of Wire EDM. Index.
Kaushik Kumar, B.Tech (Mechanical Engineering, REC (Now NIT),
Warangal), MBA (Marketing, IGNOU) and Ph.D (Engineering, Jadavpur
University), is presently an Associate Professor in the Department
of Mechanical Engineering, Birla Institute of Technology, Mesra,
Ranchi, India. He has 19 years of Teaching & Research and over 11
years of industrial experience in a manufacturing unit of Global
repute. His areas of teaching and research interest are Composites,
Optimization, Non-conventional machining, CAD / CAM, Rapid
Prototyping and Quality Management Systems. He has 9 Patents, 35+
Book, 30+ Edited Book, 55+ Book Chapters, 150+ international
Journal publications, 22 International and 1 National Conference
publications to his credit. He is on the editorial board and review
panel of 7 International and 1 National Journals of repute. He has
been felicitated with many awards and honours. (Web of Science core
collection (104 publications/h-index 10+, SCOPUS/h-index 10+,
Google Scholar/h-index 23+).
Divya Zindani, (BE, Mechanical Engineering, Rajasthan Technical
University, Kota), M.E. (Design of Mechanical Equipment, BIT
Mesra), presently pursuing PhD (National Institute of Technology,
Silchar). He has over 2 years of Industrial experience. His areas
of interests are Optimization, Product and Process Design,
CAD/CAM/CAE, Rapid prototyping and Material Selection. He has 2
Patent, 8 Books, 8 Edited Books, 23 Book Chapters, 10 SCI journals,
7 Scopus Indexed international journals and 7 International
Conference publications to his credit.
J. Paulo Davim is a Full Professor at the University of Aveiro,
Portugal. He is also distinguished as honorary professor in several
universities/colleges in China, India and Spain. He received his
Ph.D. degree in Mechanical Engineering in 1997, M.Sc. degree in
Mechanical Engineering (materials and manufacturing processes) in
1991, Mechanical Engineering degree (5 years) in 1986, from the
University of Porto (FEUP), the Aggregate title (Full Habilitation)
from the University of Coimbra in 2005 and the D.Sc. (Higher
Doctorate) from London Metropolitan University in 2013. He is
Senior Chartered Engineer by the Portuguese Institution of
Engineers with an MBA and Specialist titles in Engineering and
Industrial Management as well as in Metrology. He is also Eur Ing
by FEANI-Brussels and Fellow (FIET) of IET-London. He has more than
30 years of teaching and research experience in Manufacturing,
Materials, Mechanical and Industrial Engineering, with special
emphasis in Machining & Tribology. He has also interest in
Management, Engineering Education and Higher Education for
Sustainability. He has guided large numbers of postdoc, Ph.D. and
master’s students as well as has coordinated and participated in
several financed research projects. He has received several
scientific awards and honors. He has worked as evaluator of
projects for ERC-European Research Council and other international
research agencies as well as examiner of Ph.D. thesis for many
universities in different countries. He is the Editor in Chief of
several international journals, Guest Editor of journals, books
Editor, book Series Editor and Scientific Advisory for many
international journals and conferences. Presently, he is an
Editorial Board member of 30 international journals and acts as
reviewer for more than 100 prestigious Web of Science journals. In
addition, he has also published as editor (and co-editor) more than
150 books and as author (and co-author) more than 15 books, 100
book chapters and 500 articles in journals and conferences (more
than 280 articles in journals indexed in Web of Science core
collection/h-index 57+/10500+ citations, SCOPUS/h-index 62+/13000+
citations, Google Scholar/h-index 80+/21500+ citations).
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