Intelligent systems design and applications 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022. Volume 1 /

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This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of comput...

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Bibliographic Details
Corporate Authors: International Conference on Intelligent Systems Design and Applications Online, SpringerLink (Online service)
Other Authors: Abraham, Ajith, 1968- (Editor), Pllana, Sabri (Editor), Casalino, Gabriella (Editor), Ma, Kun (Computer scientist) (Editor), Bajaj, Anu (Editor)
Format: Conference Proceeding eBook
Language:English
Published: Cham : Springer, 2023.
Series:Lecture notes in networks and systems ; v. 646.
Physical Description:
1 online resource (xv, 577 pages) : illustrations (some color).
Subjects:
Expert systems (Computer science) -- Congresses.
Artificial intelligence -- Congresses.
Electronic books.
Online Access:SpringerLink - Click here for access
Description
Summary:This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.
Item Description:Includes author index.
Physical Description:
1 online resource (xv, 577 pages) : illustrations (some color).
Bibliography:References -- Object Classification Using ECOC Multi-class SVM and HOG Characteristics -- 1 Introduction -- 1.1 Background -- 1.2 Research Objectives -- 1.3 Paper Organization -- 2 Proposed Scheme for Object Classification -- 3 System Description -- 3.1 Image Datasets -- 3.2 ECOC Based Multi-class SVM -- 3.3 Appropriate Cell Size Selection for HOG Feature -- 4 Results and Discussions -- 5 Conclusion -- References -- GA Evolved Configuration Data for Embryonic Architecture with Built-in Self-test -- 1 Introduction -- 2 Embryonic Digital Circuit Architecture Using CGP Data.
ISBN:9783031274404
3031274407
ISSN:2367-3389 ;

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