1.

Record Nr.

UNINA9910895208303321

Titolo

The open biology journal

Pubbl/distr/stampa

[Hilversum], : [Bentham Science Publishers], [2008]-

Descrizione fisica

1 online resource

Soggetti

Biology

Bioinformatics

Molecular biology

Biologie

Bio-informatique

Biologie moléculaire

Periodicals.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico

Note generali

Refereed/Peer-reviewed



2.

Record Nr.

UNINA9911039324503321

Autore

Vasimalla Yesudasu

Titolo

Generative AI for Photonic Sensing / / edited by Yesudasu Vasimalla, Santosh Kumar

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

ISBN

9789819515615

9789819515608

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (346 pages)

Collana

Progress in Optical Science and Photonics, , 2363-510X ; ; 36

Disciplina

535

Soggetti

Optics

Artificial intelligence

Photonics

Optical engineering

Imaging systems in biology

Image processing - Digital techniques

Computer vision

Optical spectroscopy

Optics and Photonics

Artificial Intelligence

Photonics and Optical Engineering

Biological Imaging

Computer Imaging, Vision, Pattern Recognition and Graphics

Optical Spectroscopy

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

1. Understanding the Fundamentals of Photonic Sensors: Principles, Mechanisms and Applications -- 2. Fundamentals of Generative AI -- 3. Fiber Optic Sensors (FOSs) and Artificial Intelligence (AI): Brief History and Overviews -- 4. Generative AI Models For Sensor Data Processing -- 5. AI in optical fiber sensors and sensing network.

Sommario/riassunto

This book highlights the revolutionary effects of generative Artificial Intelligence (AI) on photonic sensing technologies, where intelligent



systems might improve precision, effectiveness, and applicability of light-based sensors. This book covers the basics of photonic sensors and explains their significance for a variety of applications in healthcare, environmental monitoring, autonomous systems, and industrial process industries. Readers will learn how generative AI is being used in important fields including optical imaging, optical fiber sensors, spectroscopy, and LIDAR systems. It also provides a guidance for researchers, engineers, and professionals working in the fields of optical sensing and artificial intelligence by fusing the rapidly developing discipline of generative AI with sophisticated photonic sensing.