most citedUsing various machine learning algorithms for quantitative analysis in Laser induced breakdown spectroscopy

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT20231 cited

Cell-Free Bistatic Backscatter Communication: Channel Estimation, Optimization, and Performance Analysis

Diluka Galappaththige, Fatemeh Rezaei, Chintha Tellambura +1

This study introduces and investigates the integration of a cell-free architecture with bistatic backscatter communication (BiBC), referred to as cell-free BiBC or distributed acce…

eess.SP20231 cited

Laser Doppler vibrometer and accelerometer for vibrational analysis of the automotive components during Simulink simulation for validation

Fatemeh Rezaei

In current research, laser Doppler vibrometer (LDV) as a new diagnostic tool is utilized for non-destructive testing of the automotive equipment. LDV technique is working based on…

cs.LG20231 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-an20233 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…

cond-mat.soft2023

Polystyrene clusters captured by acoustic tweezers spontaneously rupturing

Saeedeh Kabiri, Amir Ghavidel, Sanaz Derikvandi +2

Numerous investigations have demonstrated that standing acoustic waves can trap particles that range in size from microns to millimeters. Powerful tweezers may trap clusters of par…