3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
A comparison between Recurrent Neural Networks and classical machine learning approaches In Laser induced breakdown spectroscopy
Fatemeh Rezaei, Pouriya Khaliliyan, Mohsen Rezaei +2
Recurrent Neural Networks are classes of Artificial Neural Networks that establish connections between different nodes form a directed or undirected graph for temporal dynamical an…
physics.data-an2023★ 3 cited
Using various machine learning algorithms for quantitative analysis in Laser induced breakdown spectroscopy
Mohsen Rezaei, Fatemeh Rezaei, Parvin Karimi
Laser induced breakdown spectroscopy technique is employed for quantitative analysis of aluminum samples by different classical machine learning approaches. A Q-switch Nd:YAG laser…