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Intelligent and fuzzy systems = intelligent industrial informatics and efficient networks proceedings of the INFUS 2024 Conference.. Volume 2 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent and fuzzy systems/ edited by Cengiz Kahraman ...[et al.].
其他題名:	intelligent industrial informatics and efficient networks proceedings of the INFUS 2024 Conference.
其他作者:	Kahraman, Cengiz.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xvi, 796 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-031-67195-1
ISBN:	9783031671951

Intelligent and fuzzy systems = intelligent industrial informatics and efficient networks proceedings of the INFUS 2024 Conference.. Volume 2 /
Intelligent and fuzzy systemsintelligent industrial informatics and efficient networks proceedings of the INFUS 2024 Conference.Volume 2 /[electronic resource] :edited by Cengiz Kahraman ...[et al.]. - Cham :Springer Nature Switzerland :2024. - xvi, 796 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,10892367-3389 ;. - Lecture notes in networks and systems ;v.1..

This book presents recent research in intelligent and fuzzy techniques on Intelligent Industrial Informatics and Efficient Networks. This cutting-edge field integrates advanced technologies, such as artificial intelligence, machine learning and data analytics, into industrial processes, revolutionizing the way industries operate. The book presents the examples of the implementation of smart sensors and IoT devices, which facilitate real-time data collection and communication. High-speed, low-latency networks ensure that information flows effortlessly between devices, enabling timely responses and enabling the coordination of complex manufacturing processes. This network architecture supports the integration of edge computing, where data processing occurs closer to the source, reducing latency and enabling faster decision-making. The readers can benefit from this book for maintaining a leadership position among competitors in both manufacturing and service companies. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying intelligent and fuzzy techniques. 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.

ISBN: 9783031671951

Standard No.: 10.1007/978-3-031-67195-1doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: QA76.9.D343 / I58 2024

Dewey Class. No.: 006.312

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