Central Library

Normal view MARC view ISBD view

Artificial intelligence in mechanical and industrial engineering / edited by Kaushik Kumar, Divya Zindani and J. Paulo Davim.

Contributor(s): Kumar, K. (Kaushik), 1968- [editor.] | Zindani, Divya, 1989- [editor.] | Davim, J. Paulo [editor.].
Material type: materialTypeLabelBookSeries: Artificial intelligence (AI) in engineering.Publisher: Boca Raton : CRC Press, 2021Edition: First edition.Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781003011248; 1003011241; 9781000397017; 1000397017; 9781000396935; 1000396932.Subject(s): Artificial intelligence -- Industrial applications | Mechanical engineering -- Data processing | Industrial engineering -- Data processing | COMPUTERS / Expert Systems | TECHNOLOGY / Engineering / MechanicalDDC classification: 620.00285/63 Online resources: Taylor & Francis | OCLC metadata license agreement
Partial contents:
An overview of machine learning implementation in various industrial scenarios -- agriculture, healthcare and enterprise / Hridayjit Kalita, Birla Institute of Technology, Mesra, Ranchi, India, Kaushik Kumar, Birla Institute of Technology, Mesra, Ranchi, India, J. Paulo Davim, University of Aveiro, Aveiro, Portugal.
Summary: "This book 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 will cover 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"-- Provided by publisher.
    average rating: 0.0 (0 votes)
No physical items for this record

An overview of machine learning implementation in various industrial scenarios -- agriculture, healthcare and enterprise / Hridayjit Kalita, Birla Institute of Technology, Mesra, Ranchi, India, Kaushik Kumar, Birla Institute of Technology, Mesra, Ranchi, India, J. Paulo Davim, University of Aveiro, Aveiro, Portugal.

"This book 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 will cover 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"-- Provided by publisher.

OCLC-licensed vendor bibliographic record.

There are no comments for this item.

Log in to your account to post a comment.