國立虎尾科技大學 |

Optical fiber sensors and AI = exploring the fusion /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Optical fiber sensors and AI/ edited by Vanita Bhardwaj ... [et al.].
Reminder of title:	exploring the fusion /
other author:	Bhardwaj, Vanita.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xiv, 196 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Optical fiber detectors. -
Online resource:	https://doi.org/10.1007/978-981-96-6158-9
ISBN:	9789819661589

Optical fiber sensors and AI = exploring the fusion /
Optical fiber sensors and AIexploring the fusion /[electronic resource] :edited by Vanita Bhardwaj ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xiv, 196 p. :ill. (chiefly color), digital ;24 cm. - Progress in optical science and photonics,v. 342363-510X ;. - Progress in optical science and photonics ;v.2..

1. Introduction to Optical Fiber Sensors: Fundamentals and Applications -- 2. Advancements in Optical Fiber Sensor Technology -- 3. The Role of Artificial Intelligence in Enhancing Optical Fiber Sensors -- 4. AI Techniques for Signal Processing in Optical Fiber Sensors -- 5. Machine Learning for Real-Time Data Analysis in Fiber Optic Sensing.

This book highlights the exciting developments in optical fiber sensors and how artificial intelligence (AI) is boosting their performance and applications. It starts with an easy-to-understand introduction to the basics of optical fiber sensors and their many uses. Then, it moves on to the latest technological advancements, showing how AI is making these sensors smarter and more efficient. The book contains chapters demonstrating how machine learning contributes to real-time data analysis and how deep learning enhances sensor systems. There is also a focus on designing better sensor networks with the help of AI. The book explains how combining AI with the Internet of Things (IoT) and optical fiber sensors can create smart infrastructure solutions. Real-world case studies illustrate how AI-enhanced fiber-optic sensors are benefiting fields like healthcare and environmental monitoring. The book wraps up with a look at future trends and challenges in the world of AI-powered optical fiber sensing. This book is perfect for researchers, engineers, and anyone interested in the powerful combination of AI and optical fiber technology. It provides valuable insights into how these technologies can work together to create innovative and practical solutions.

ISBN: 9789819661589

Standard No.: 10.1007/978-981-96-6158-9doiSubjects--Topical Terms:

557197
Optical fiber detectors.

LC Class. No.: TA1815

Dewey Class. No.: 681.25

Optical fiber sensors and AI = exploring the fusion /
LDR:02743nam a2200349 a 4500 001 1159740
003 DE-He213
005 20250702130258.0
006 m d
007 cr nn 008maaau
008 251029s2025 si s 0 eng d
020 $a 9789819661589 $q (electronic bk.)
020 $a 9789819661572 $q (paper)
024 7 $a 10.1007/978-981-96-6158-9 $2 doi
035 $a 978-981-96-6158-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1815
072 7 $a TTBF $2 bicssc
072 7 $a SCI053000 $2 bisacsh
072 7 $a TTBF $2 thema
082 0 4 $a 681.25 $2 23
090 $a TA1815 $b .O62 2025
245 0 0 $a Optical fiber sensors and AI $h [electronic resource] : $b exploring the fusion / $c edited by Vanita Bhardwaj ... [et al.].
260 $a Singapore : $c 2025. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xiv, 196 p. : $b ill. (chiefly color), digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Progress in optical science and photonics, $x 2363-510X ; $v v. 34
505 0 $a 1. Introduction to Optical Fiber Sensors: Fundamentals and Applications -- 2. Advancements in Optical Fiber Sensor Technology -- 3. The Role of Artificial Intelligence in Enhancing Optical Fiber Sensors -- 4. AI Techniques for Signal Processing in Optical Fiber Sensors -- 5. Machine Learning for Real-Time Data Analysis in Fiber Optic Sensing.
520 $a This book highlights the exciting developments in optical fiber sensors and how artificial intelligence (AI) is boosting their performance and applications. It starts with an easy-to-understand introduction to the basics of optical fiber sensors and their many uses. Then, it moves on to the latest technological advancements, showing how AI is making these sensors smarter and more efficient. The book contains chapters demonstrating how machine learning contributes to real-time data analysis and how deep learning enhances sensor systems. There is also a focus on designing better sensor networks with the help of AI. The book explains how combining AI with the Internet of Things (IoT) and optical fiber sensors can create smart infrastructure solutions. Real-world case studies illustrate how AI-enhanced fiber-optic sensors are benefiting fields like healthcare and environmental monitoring. The book wraps up with a look at future trends and challenges in the world of AI-powered optical fiber sensing. This book is perfect for researchers, engineers, and anyone interested in the powerful combination of AI and optical fiber technology. It provides valuable insights into how these technologies can work together to create innovative and practical solutions.
650 0 $a Optical fiber detectors. $3 557197
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Fibre Optics. $3 1390721
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Signal, Speech and Image Processing. $3 1414819
650 2 4 $a Sensors. $3 1003702
650 2 4 $a Machine Learning. $3 1137723
700 1 $a Bhardwaj, Vanita. $3 1487034
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Progress in optical science and photonics ; $v v.2. $3 1063351
856 4 0 $u https://doi.org/10.1007/978-981-96-6158-9
950 $a Physics and Astronomy (SpringerNature-11651)