Artificial Intelligence In Mechanical And Industrial Engineering

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Artificial Intelligence in Mechanical and Industrial Engineering

Author : Kaushik Kumar
Publisher : CRC Press
ISBN 13 : 1000396932
Total Pages : 157 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence in Mechanical and Industrial Engineering by : Kaushik Kumar

Download or read book Artificial Intelligence in Mechanical and Industrial Engineering written by Kaushik Kumar and published by CRC Press. This book was released on 2021-06-20 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Gebrail Bekdas
Publisher : Engineering Science Reference
ISBN 13 : 9781799803027
Total Pages : 312 pages
Book Rating : 4.8/5 (3 download)

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Book Synopsis Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering by : Gebrail Bekdas

Download or read book Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering written by Gebrail Bekdas and published by Engineering Science Reference. This book was released on 2019 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--

Machine Learning in Industry

Author : Shubhabrata Datta
Publisher : Springer Nature
ISBN 13 : 3030758478
Total Pages : 202 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Machine Learning in Industry by : Shubhabrata Datta

Download or read book Machine Learning in Industry written by Shubhabrata Datta and published by Springer Nature. This book was released on 2021-07-24 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Gebrail Bekdas
Publisher :
ISBN 13 : 9781523128938
Total Pages : 327 pages
Book Rating : 4.1/5 (289 download)

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Book Synopsis Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering by : Gebrail Bekdas

Download or read book Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering written by Gebrail Bekdas and published by . This book was released on 2020 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applications of Artificial Intelligence in Additive Manufacturing

Author : Salunkhe, Sachin
Publisher : IGI Global
ISBN 13 : 1799885186
Total Pages : 240 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applications of Artificial Intelligence in Additive Manufacturing by : Salunkhe, Sachin

Download or read book Applications of Artificial Intelligence in Additive Manufacturing written by Salunkhe, Sachin and published by IGI Global. This book was released on 2021-12-31 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: After the recent launch of home-based personal 3D printers as well as government funding and company investments in advancing manufacturing initiatives, additive manufacturing has rapidly come to the forefront of discussion and become a more approachable lucrative career of particular interest to the younger generation. It is essential to identify the long-term competitive advantages and how to teach, inspire, and create a resolute community of supporters, learners, and new leaders in this important industry progression. Applications of Artificial Intelligence in Additive Manufacturing provides instruction on how to use artificial intelligence to produce additively manufactured parts. It discusses an overview of the field, the strategic blending of artificial intelligence and additive manufacturing, and features case studies on the various emerging technologies. Covering topics such as artificial intelligence models, experimental investigations, and online detections, this book is an essential resource for engineers, manufacturing professionals, computer scientists, AI scientists, researchers, educators, academicians, and students.

Artificial Intelligence in Manufacturing Research

Author : J. Paulo Davim
Publisher : Nova Science Publishers
ISBN 13 : 9781626185579
Total Pages : 0 pages
Book Rating : 4.1/5 (855 download)

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Book Synopsis Artificial Intelligence in Manufacturing Research by : J. Paulo Davim

Download or read book Artificial Intelligence in Manufacturing Research written by J. Paulo Davim and published by Nova Science Publishers. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is a sub-field of computer science concerned with understanding the nature of intelligence and constructing computer systems capable of intelligent action. This book aims to provide the research and review studies on artificial intelligence in manufacturing.

Machine Learning and Artificial Intelligence with Industrial Applications

Author : Diego Carou
Publisher : Springer Nature
ISBN 13 : 3030910067
Total Pages : 216 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Machine Learning and Artificial Intelligence with Industrial Applications by : Diego Carou

Download or read book Machine Learning and Artificial Intelligence with Industrial Applications written by Diego Carou and published by Springer Nature. This book was released on 2022-03-11 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.

Artificial Intelligence and Digital Systems Engineering

Author : Adedeji B. Badiru
Publisher : CRC Press
ISBN 13 : 1000472515
Total Pages : 128 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence and Digital Systems Engineering by : Adedeji B. Badiru

Download or read book Artificial Intelligence and Digital Systems Engineering written by Adedeji B. Badiru and published by CRC Press. This book was released on 2021-08-11 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Zhou, Zude
Publisher : IGI Global
ISBN 13 : 1605668656
Total Pages : 407 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation by : Zhou, Zude

Download or read book Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation written by Zhou, Zude and published by IGI Global. This book was released on 2010-03-31 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.

Applications of Machine Learning

Author : Prashant Johri
Publisher : Springer Nature
ISBN 13 : 9811533571
Total Pages : 404 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applications of Machine Learning by : Prashant Johri

Download or read book Applications of Machine Learning written by Prashant Johri and published by Springer Nature. This book was released on 2020-05-04 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Industrial Engineering and Operations Research

Author : Alan H.S. Chan
Publisher : Springer Science & Business Media
ISBN 13 : 0387749055
Total Pages : 497 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Advances in Industrial Engineering and Operations Research by : Alan H.S. Chan

Download or read book Advances in Industrial Engineering and Operations Research written by Alan H.S. Chan and published by Springer Science & Business Media. This book was released on 2008-03-03 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains contributions from prominent researchers who participated in the 2007 IAENG International Conference on Operations Research. It presents theories and applications of modern industrial engineering and operations research to meet the needs of rapidly developing fields. The book reflects the tremendous advances in communication systems and electrical engineering and also serves as an excellent reference work for researchers and graduate students.

Artificial Intelligence in Industrial Decision Making, Control and Automation

Author : S.G. Tzafestas
Publisher : Springer Science & Business Media
ISBN 13 : 9401103054
Total Pages : 778 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Artificial Intelligence in Industrial Decision Making, Control and Automation by : S.G. Tzafestas

Download or read book Artificial Intelligence in Industrial Decision Making, Control and Automation written by S.G. Tzafestas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.

Data Science and Intelligent Applications

Author : Ketan Kotecha
Publisher : Springer Nature
ISBN 13 : 9811544743
Total Pages : 556 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Data Science and Intelligent Applications by : Ketan Kotecha

Download or read book Data Science and Intelligent Applications written by Ketan Kotecha and published by Springer Nature. This book was released on 2020-06-17 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24–25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints. The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike.

Modelling and Control for Intelligent Industrial Systems

Author : Gerasimos Rigatos
Publisher : Springer Science & Business Media
ISBN 13 : 3642178758
Total Pages : 379 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Modelling and Control for Intelligent Industrial Systems by : Gerasimos Rigatos

Download or read book Modelling and Control for Intelligent Industrial Systems written by Gerasimos Rigatos and published by Springer Science & Business Media. This book was released on 2011-02-02 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of fault detection and isolation methods for the prevention of critical situations in industrial work-cells and production plants, of optimization methods aiming at a more profitable functioning of industrial installations and robotic devices and of machine intelligence methods aiming at reducing human intervention in industrial systems operation. To this end, the book analyzes and extends some main directions of research in modeling and control for industrial systems. These are: (i) industrial robots, (ii) mobile robots and autonomous vehicles, (iii) adaptive and robust control of electromechanical systems, (iv) filtering and stochastic estimation for multisensor fusion and sensorless control of industrial systems (iv) fault detection and isolation in robotic and industrial systems, (v) optimization in industrial automation and robotic systems design, and (vi) machine intelligence for robots autonomy. The book will be a useful companion to engineers and researchers since it covers a wide spectrum of problems in the area of industrial systems. Moreover, the book is addressed to undergraduate and post-graduate students, as an upper-level course supplement of automatic control and robotics courses.

Systems Engineering and Artificial Intelligence

Author : William F. Lawless
Publisher : Springer Nature
ISBN 13 : 3030772837
Total Pages : 566 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Systems Engineering and Artificial Intelligence by : William F. Lawless

Download or read book Systems Engineering and Artificial Intelligence written by William F. Lawless and published by Springer Nature. This book was released on 2021-11-02 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.

Artificial Intelligence for Materials Science

Author : Yuan Cheng
Publisher : Springer Nature
ISBN 13 : 3030683109
Total Pages : 231 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for Materials Science by : Yuan Cheng

Download or read book Artificial Intelligence for Materials Science written by Yuan Cheng and published by Springer Nature. This book was released on 2021-03-26 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field. Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years. This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers.

Artificial Intelligence in Construction Engineering and Management

Author : Limao Zhang
Publisher : Springer Nature
ISBN 13 : 9811628424
Total Pages : 271 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Artificial Intelligence in Construction Engineering and Management by : Limao Zhang

Download or read book Artificial Intelligence in Construction Engineering and Management written by Limao Zhang and published by Springer Nature. This book was released on 2021-06-18 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.