國立高雄大學圖資館 |

Language: English

Back

Intelligent and fuzzy systemsintelligent industrial informatics and efficient networks proceedings of the INFUS 2024 Conference.Volume 3 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent and fuzzy systemsedited by Cengiz Kahraman ...[et al.].
Reminder of title:	intelligent industrial informatics and efficient networks proceedings of the INFUS 2024 Conference.
other author:	Kahraman, Cengiz.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xvii, 755 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-67192-0
ISBN:	9783031671920$q(electronic bk.)

Intelligent and fuzzy systemsintelligent industrial informatics and efficient networks proceedings of the INFUS 2024 Conference.Volume 3 /
Intelligent and fuzzy systemsintelligent industrial informatics and efficient networks proceedings of the INFUS 2024 Conference.Volume 3 /[electronic resource] :edited by Cengiz Kahraman ...[et al.]. - Cham :Springer Nature Switzerland :2024. - xvii, 755 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,10902367-3389 ;. - 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: 9783031671920$q(electronic bk.)

Standard No.: 10.1007/978-3-031-67192-0doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

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

Dewey Class. No.: 006.312

Intelligent and fuzzy systemsintelligent industrial informatics and efficient networks proceedings of the INFUS 2024 Conference.Volume 3 /
LDR:02561nmm a22003375a 4500 001 668060
003 DE-He213
005 20240828130247.0
006 m d
007 cr nn 008maaau
008 250107s2024 sz s 0 eng d
020 $a 9783031671920$q(electronic bk.)
020 $a 9783031671913$q(paper)
024 7 $a 10.1007/978-3-031-67192-0 $2 doi
035 $a 978-3-031-67192-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343 $b I58 2024
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b I61 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Intelligent and fuzzy systems $h [electronic resource] : $b intelligent industrial informatics and efficient networks proceedings of the INFUS 2024 Conference. $n Volume 3 / $c edited by Cengiz Kahraman ...[et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xvii, 755 p. : $b ill. (some col.), digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v 1090
520 $a 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.
650 0 $a Data mining $v Congresses. $3 380776
650 0 $a Machine learning $v Congresses. $3 384498
650 0 $a Big data $v Congresses. $3 592065
650 0 $a Fuzzy sets $v Congresses. $3 387155
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Engineering. $3 839346
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Kahraman, Cengiz. $3 278539
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v.1. $3 744793
856 4 0 $u https://doi.org/10.1007/978-3-031-67192-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)