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Advances in computer science for eng...

International Symposium on Engineering and Manufacturing ((2021 :)

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Advances in computer science for engineering and manufacturing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in computer science for engineering and manufacturing/ edited by Zhengbing Hu ... [et al.].
other author:	Hu, Zhengbing.
corporate name:	International Symposium on Engineering and Manufacturing
Published:	Cham :Springer International Publishing : : 2022.,
Description:	x, 388 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Manufacturing processes - Congresses. - Data processing -
Online resource:	https://doi.org/10.1007/978-3-031-03877-8
ISBN:	9783031038778

Advances in computer science for engineering and manufacturing
Advances in computer science for engineering and manufacturing[electronic resource] /edited by Zhengbing Hu ... [et al.]. - Cham :Springer International Publishing :2022. - x, 388 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 4632367-3389 ;. - Lecture notes in networks and systems ;v. 463..

The book's general scope covers the latest advances in the development of artificial intelligence systems and their applications in engineering and manufacturing. The book comprises refereed papers presented at the International Symposium on Engineering and Manufacturing (ISEM2021), held in Kyiv, Ukraine, on December 24-26, 2021. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular in engineering and manufacturing, to increase the effectiveness of the creation and diagnosis of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. In-depth studies of biological and self-organizing systems can provide new approaches to create more and more effective artificial intelligence methods. The topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. Specialists, students, and other groups of people who want to know how artificial intelligence systems can be used in the future will be the target audience for this book.

ISBN: 9783031038778

Standard No.: 10.1007/978-3-031-03877-8doiSubjects--Topical Terms:

1066712
Manufacturing processes
--Data processing--Congresses.

LC Class. No.: TS183 / .I57 2021

Dewey Class. No.: 670.285

Advances in computer science for engineering and manufacturing
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520 $a The book's general scope covers the latest advances in the development of artificial intelligence systems and their applications in engineering and manufacturing. The book comprises refereed papers presented at the International Symposium on Engineering and Manufacturing (ISEM2021), held in Kyiv, Ukraine, on December 24-26, 2021. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular in engineering and manufacturing, to increase the effectiveness of the creation and diagnosis of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. In-depth studies of biological and self-organizing systems can provide new approaches to create more and more effective artificial intelligence methods. The topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. Specialists, students, and other groups of people who want to know how artificial intelligence systems can be used in the future will be the target audience for this book.
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