Artificial intelligence, machine learning, and deep learning in plasma and microplasma spectrochemistry

Celine Tat; Vassili Karanassios

doi:10.1117/12.2664911

15 June 2023 Artificial intelligence, machine learning, and deep learning in plasma and microplasma spectrochemistry

Celine Tat, Vassili Karanassios

Proceedings Volume 12516, Next-Generation Spectroscopic Technologies XV; 1251602 (2023) https://doi.org/10.1117/12.2664911
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Artificial Intelligence (AI) using ANNs (Artificial Neural Networks) and Inductively Coupled Plasma (ICP)-Optical Emission Spectrometry and microplasma-Optical emission Spectrometry be described in some detail. Also, the application of Deep Learning (DL) using a portable, fiber-optic spectrometer will be discussed. Potential applications of ChatGPT and Jasper.AI in spectroscopy will be highlighted.

Conference Presentation

Citation Download Citation

Celine Tat and Vassili Karanassios "Artificial intelligence, machine learning, and deep learning in plasma and microplasma spectrochemistry", Proc. SPIE 12516, Next-Generation Spectroscopic Technologies XV, 1251602 (15 June 2023); https://doi.org/10.1117/12.2664911

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available