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Artificial intelligence in models, m...

International Conference "Artificial Intelligence in Engineering & Science" (2022 :)

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Artificial intelligence in models, methods and applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence in models, methods and applications/ edited by Olga Dolinina ... [et al.].
other author:	Dolinina, Olga.
corporate name:	International Conference "Artificial Intelligence in Engineering & Science"
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xv, 712 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: Semantic Modeling of Predicate Calculus Based on N-Tuple Algebra -- Chapter 2: Method of Iterative-Order Optimization of Multicriteria Problems Using the Local Importance of Criteria -- Chapter 3: Neural Network Representation for Ordinary Differential Equations -- Chapter 4: Modeling Situations in Spatial Analysis.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-22938-1
ISBN:	9783031229381

Artificial intelligence in models, methods and applications
Artificial intelligence in models, methods and applications[electronic resource] /edited by Olga Dolinina ... [et al.]. - Cham :Springer International Publishing :2023. - xv, 712 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 4572198-4190 ;. - Studies in systems, decision and control ;v. 457..

Chapter 1: Semantic Modeling of Predicate Calculus Based on N-Tuple Algebra -- Chapter 2: Method of Iterative-Order Optimization of Multicriteria Problems Using the Local Importance of Criteria -- Chapter 3: Neural Network Representation for Ordinary Differential Equations -- Chapter 4: Modeling Situations in Spatial Analysis.

This book is based on the accepted research papers presented in the International Conference "Artificial Intelligence in Engineering & Science" (AIES-2022) The aim of the AIES Conference is to bring together researchers involved in the theory of computational intelligence, knowledge engineering, fuzzy systems, soft computing, machine learning and related areas and applications in engineering, bioinformatics, industry, medicine, energy, smart city, social spheres and other areas. This book presents new perspective research results: models, methods, algorithms and applications in the field of Artificial Intelligence (AI) Particular emphasis is given to the medical applications - medical images recognition, development of the expert systems which could be interesting for the AI researchers as well for the physicians looking for the new ideas in medicine. The central audience of the book are researchers, industrial practitioners, students specialized in the Artificial Intelligence.

ISBN: 9783031229381

Standard No.: 10.1007/978-3-031-22938-1doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334 / .I58 2022

Dewey Class. No.: 006.3

Artificial intelligence in models, methods and applications
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300 $a xv, 712 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4190 ; $v v. 457
505 0 $a Chapter 1: Semantic Modeling of Predicate Calculus Based on N-Tuple Algebra -- Chapter 2: Method of Iterative-Order Optimization of Multicriteria Problems Using the Local Importance of Criteria -- Chapter 3: Neural Network Representation for Ordinary Differential Equations -- Chapter 4: Modeling Situations in Spatial Analysis.
520 $a This book is based on the accepted research papers presented in the International Conference "Artificial Intelligence in Engineering & Science" (AIES-2022) The aim of the AIES Conference is to bring together researchers involved in the theory of computational intelligence, knowledge engineering, fuzzy systems, soft computing, machine learning and related areas and applications in engineering, bioinformatics, industry, medicine, energy, smart city, social spheres and other areas. This book presents new perspective research results: models, methods, algorithms and applications in the field of Artificial Intelligence (AI) Particular emphasis is given to the medical applications - medical images recognition, development of the expert systems which could be interesting for the AI researchers as well for the physicians looking for the new ideas in medicine. The central audience of the book are researchers, industrial practitioners, students specialized in the Artificial Intelligence.
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