Optical Fiber Sensors and AI: Exploring the Fusion

Author:   Vanita Bhardwaj ,  Santosh Kumar ,  Kamal Kishor ,  Amit Rai
Publisher:   Springer Nature Switzerland AG
Volume:   34
ISBN:  

9789819661572


Pages:   196
Publication Date:   03 July 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Our Price $369.57 Quantity:  
Add to Cart

Share |

Optical Fiber Sensors and AI: Exploring the Fusion


Add your own review!

Overview

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.

Full Product Details

Author:   Vanita Bhardwaj ,  Santosh Kumar ,  Kamal Kishor ,  Amit Rai
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Volume:   34
ISBN:  

9789819661572


ISBN 10:   9819661579
Pages:   196
Publication Date:   03 July 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Reviews

Author Information

Dr. Vanita Bhardwaj is Assistant Professor at the Vivekananda Institute of Professional Studies. She earned her Ph.D. from IIT ISM Dhanbad. Her research focuses on developing innovative optical fiber sensors using interferometer principles. Dr. Bhardwaj’s research extends to the development of optical fiber sensors encompassing pH sensing, refractive index detection, and temperature measurement. Her multidisciplinary approach explores novel applications in fields such as environmental monitoring.  Dr. Santosh Kumar received his Ph.D. from IIT (ISM) Dhanbad, India. He was with Liaocheng University, Liaocheng, China, from 2018 to 2023. He is currently Professor with the Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation,  Vaddeswaram, India. With expertise in electronics, communications engineering, and physics, his research focuses on WaveFlex biosensors, fiber-optic sensors, photonics and plasmonic devices, nano and biophotonics, waveguides, interferometers, and the Internet of Things. Dr. Kamal Kishor is currently working as Assistant Professor in the Applied Physics Department at Delhi Technological University. He received his Ph.D. from the University of Delhi, India. He is currently working in the areas of optical fiber communication system, photonics crystal fibers, metamaterials based antenna, sensors, nano photonics devices, etc. Dr. Amit Rai is Distinguished Researcher currently working in the Intelligent System Laboratory at Pukyong National University, Busan, South Korea. He obtained his Ph.D. in electrical engineering from the Indian Institute of Technology (ISM) Dhanbad. His research primarily focuses on deep learning, machine learning, and their applications in renewable energy forecasting and Hydrogen production analysis. His notable contributions include developing innovative hybrid deep learning models for solar and wind power forecasting, evidenced by numerous publications in high-impact international journals and conferences.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

RGJUNE2025

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List