35 citations · 44 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 9 cited
Raman spectral analysis of mixtures with one-dimensional convolutional neural network
M. Hamed Mozaffari, Li-Lin Tay
Recently, the combination of robust one-dimensional convolutional neural networks (1-D CNNs) and Raman spectroscopy has shown great promise in rapid identification of unknown subst…
eess.SP2021
One-dimensional Active Contour Models for Raman Spectrum Baseline Correction
M. Hamed Mozaffari, Li-Lin Tay
Raman spectroscopy is a powerful and non-invasive method for analysis of chemicals and detection of unknown substances. However, Raman signal is so weak that background noise can d…
eess.SP2020★ 35 cited
A Review of 1D Convolutional Neural Networks toward Unknown Substance Identification in Portable Raman Spectrometer
M. Hamed Mozaffari, Li-Lin Tay
Raman spectroscopy is a powerful analytical tool with applications ranging from quality control to cutting edge biomedical research. One particular area which has seen tremendous a…