Technological Innovation for Applied AI Systems

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12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Costa de Caparica, Portugal, July 7-9,2021, Proceedings, IFIP Advances in Information and Communication Technology 626

ISBN: 3030782875
ISBN 13: 9783030782870
Herausgeber: Luis M Camarinha-Matos/Pedro Ferreira/Guilherme Brito
Verlag: Springer Verlag GmbH
Umfang: xiv, 360 S., 47 s/w Illustr., 74 farbige Illustr., 360 p. 121 illus., 74 illus. in color.
Erscheinungsdatum: 02.06.2021
Auflage: 1/2021
Produktform: Gebunden/Hardback
Einband: Gebunden

Chapters „Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing“ and „Predictive Manufacturing: Enabling Technologies, Frameworks and Applications“ are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Artikelnummer: 2372811 Kategorie:

Beschreibung

This book constitutes the refereed proceedings of the 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, held in Costa de Caparica, Portugal, in July 2021.*The 34 papers presented were carefully reviewed and selected from 92 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and service systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks; smart manufacturing; cyber-physical systems and digital twins; intelligent decision making; smart energy management; communications and electronics; classification systems; smart healthcare systems; and medical devices. *The conference was held virtually.Chapters Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing and Predictive Manufacturing: Enabling Technologies, Frameworks and Applications are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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