Artificial Intelligence in Mechanical and Industrial Engineering

Artificial Intelligence in Mechanical and Industrial Engineering
Author: Kaushik Kumar
Publisher: CRC Press
Total Pages: 157
Release: 2021-06-20
Genre: Computers
ISBN: 1000396932
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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 and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Author: Gebrail Bekdas
Publisher: Engineering Science Reference
Total Pages: 312
Release: 2019
Genre: Artificial intelligence
ISBN: 9781799803027
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"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--

Machine Learning in Industry

Machine Learning in Industry
Author: Shubhabrata Datta
Publisher: Springer Nature
Total Pages: 202
Release: 2021-07-24
Genre: Technology & Engineering
ISBN: 3030758478
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This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.

Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Author:
Publisher:
Total Pages:
Release: 2020
Genre:
ISBN: 9781799815785
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In today's developing world, industries are constantly required to improve and advance. New approaches are being implemented to determine optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these recent methods are being applied within the engineering field and what effective solutions they are providing. Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering is a collection of innovative research on the methods and implementation of machine learning and AI in multiple facets of engineering. While highlighting topics including control devices, geotechnology, and artificial neural networks, this book is ideally designed for engineers, academicians, researchers, practitioners, and students seeking current research on solving engineering problems using smart technology.

Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Author: Gebrail Bekdaş
Publisher: IGI Global, Engineering Science Reference
Total Pages: 0
Release: 2019-11-29
Genre: Computers
ISBN: 9781799803041
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"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--

Artificial Intelligence and Digital Systems Engineering

Artificial Intelligence and Digital Systems Engineering
Author: Adedeji B. Badiru
Publisher: CRC Press
Total Pages: 128
Release: 2021-08-11
Genre: Technology & Engineering
ISBN: 1000472515
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The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering. Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks. This book is for the general reader, university students, and instructors of industrial, production, civil, mechanical, and manufacturing engineering. It will also be of interest to managers of technology, projects, business, plants, and operations.

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation
Author: Zhou, Zude
Publisher: IGI Global
Total Pages: 407
Release: 2010-03-31
Genre: Computers
ISBN: 1605668656
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"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.

Applications of Machine Learning

Applications of Machine Learning
Author: Prashant Johri
Publisher: Springer Nature
Total Pages: 404
Release: 2020-05-04
Genre: Technology & Engineering
ISBN: 9811533571
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This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.