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Intelligent and Fuzzy Systems: Digital Acceleration and the New Normal - Proceedings of the Infus 2022 Conference (2) - Brossura
- EditoreSpringer Nature
- Data di pubblicazione2022
- ISBN 10 3031091752
- ISBN 13 9783031091759
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione1
- Numero di pagine792
- RedattoreKahraman Cengiz, Tolga A. Cagri, Onar Sezi Cevik, Cebi Selcuk, Oztaysi Basar
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Intelligent and Fuzzy Systems
Editore:
Springer International Publishing, 2022
ISBN 10: 3031091752
ISBN 13: 9783031091759
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Brossura
Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent research in Intelligent and Fuzzy TechniquesAddresses proceedings of the Intelligent and Fuzzy Techniques INFUS 2022 ConferenceProvides interdisciplinary research between fuzzy and intelligent systems and real complex system. Codice articolo 600120109
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Intelligent and Fuzzy Systems: Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2 (Lecture Notes in Networks and Systems, 505)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Intelligent and Fuzzy Systems
Editore:
Springer International Publishing Jul 2022, 2022
ISBN 10: 3031091752
ISBN 13: 9783031091759
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recent research in intelligent and fuzzy techniques on digital transformation and the new normal, the state to which economies, societies, etc. settle following a crisis bringing us to a new environment. Digital transformation and the new normal-appearing in many areas such as digital economy, digital finance, digital government, digital health, and digital education are the main scope of this book. The readers can benefit from this book for preparing for a digital 'new normal' and maintaining a leadership position among competitors in both manufacturing and service companies. Digitizing an industrial company is a challenging process, which involves rethinking established structures, processes, and steering mechanisms presented in this book. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying digital transformation and new normal. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers. 792 pp. Englisch. Codice articolo 9783031091759
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Intelligent and Fuzzy Systems : Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2
Editore:
Springer International Publishing, 2022
ISBN 10: 3031091752
ISBN 13: 9783031091759
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent research in intelligent and fuzzy techniques on digital transformation and the new normal, the state to which economies, societies, etc. settle following a crisis bringing us to a new environment. Digital transformation and the new normal-appearing in many areas such as digital economy, digital finance, digital government, digital health, and digital education are the main scope of this book. The readers can benefit from this book for preparing for a digital 'new normal' and maintaining a leadership position among competitors in both manufacturing and service companies. Digitizing an industrial company is a challenging process, which involves rethinking established structures, processes, and steering mechanisms presented in this book. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying digital transformation and new normal. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers. Codice articolo 9783031091759
Quantità: 1 disponibili