… Raman spectroscopy in combination with machine learning … on using Raman spectroscopy
and machine learning to address … Raman spectroscopy in combination with machine learning …

… Raman spectroscopy has, therefore, proven versatile in many biological and … Raman
spectroscopy include subcellular structures, cells and tissues. In most cases, Raman spectroscopy …

… machine learning in various areas, fewer reviews focus on the applications of machine learning
in Raman spectroscopy… applied in conjunction with Raman spectroscopy in diverse fields …

… deep learning models. We conduct a literature review to ascertain the recent machine
learning methods used to classify cancers using Raman spectral data. We find that while deep …

… quantification of illicit materials using Raman spectroscopy is of significant importance for
law enforcement agencies. This paper explores the use of Machine Learning (ML) methods in …

… Tools for mineral identification based on Raman spectroscopy fall into two groups: those …
In this project, we apply machine learning techniques to improve mineral identification using …

… that machine learning combined with Raman spectroscopy can … of machine learning
combined with Raman spectroscopy to … methods, machine learning based on the Raman spectra …

… -enhanced Raman spectroscopy (… of Raman response is a long-standing challenge because
of the diversified interfacial structures. Here we show that a cost-effective machine learning (…

… This work describes the application of portable Raman spectroscopy coupled with several
supervised machine-learning techniques, to discern between diabetic patients and healthy …

… and machine learning, … to machine learning as a set of advanced algorithms that learn from
data and are applicable for non-linear/high complexity modelling (eg, support vector machine…