About this document
Analytica 03 00020 by work.aditya87v is a document available to read on EtoBox.
This review discusses the application of deep learning (DL) techniques in Raman spectroscopy, highlighting its potential to analyze weak Raman signals and improve data interpretation through machine learning models. The document covers the evolution of Raman spectroscopy, the challenges faced in data analysis, and the various DL algorithms such as CNNs, ResNets, and GANs that are being employed in this field. It also outlines the structure of the review, which includes sections on DL models, applications, a
- Author
- work.aditya87v
- Language
- EN