Progress toward machine learning methodologies for laser-induced breakdown spectroscopy with an emphasis on soil analysis
Optical emission spectroscopy of laser-produced plasmas, commonly known as laser-
induced breakdown spectroscopy (LIBS), is an emerging analytical tool for rapid soil …
induced breakdown spectroscopy (LIBS), is an emerging analytical tool for rapid soil …
Application of deep learning in laser-induced breakdown spectroscopy: a review
Due to its remarkable element detection capability, laser-induced breakdown spectroscopy
(LIBS) has been extensively utilized for element-related analysis. Although the spectral …
(LIBS) has been extensively utilized for element-related analysis. Although the spectral …
Real-time classification of aluminum metal scrap with laser-induced breakdown spectroscopy using deep and other machine learning approaches
In the recycling industry, the use of deep spectral convolutional networks for the purpose of
material classification and composition estimation is still limited, despite the great …
material classification and composition estimation is still limited, despite the great …
Quantitative analysis of lithium in brine by laser-induced breakdown spectroscopy based on convolutional neural network
P Xing, J Dong, P Yu, H Zheng, X Liu, S Hu, Z Zhu - Analytica Chimica Acta, 2021 - Elsevier
In this study, a simple and effective method for accurate determination of lithium in brine
samples was developed by the combination of laser induced breakdown spectroscopy …
samples was developed by the combination of laser induced breakdown spectroscopy …
Interpreting convolutional neural network classifiers applied to laser-induced breakdown optical emission spectra
Laser-induced breakdown spectroscopy (LIBS) is a well-established industrial tool with
emerging relevance in high-stakes applications. To achieve its required analytical …
emerging relevance in high-stakes applications. To achieve its required analytical …
Classification of aluminum scrap by laser induced breakdown spectroscopy (LIBS) and RGB+ D image fusion using deep learning approaches
Integrating multi-sensor systems to sort and monitor complex waste streams is one of the
most recent innovations in the recycling industry. The complementary strengths of Laser …
most recent innovations in the recycling industry. The complementary strengths of Laser …
Deep learning regression for quantitative LIBS analysis
One of the most promising innovation strategies for sorting and recycling post-consumer
aluminium scrap is using quantitative Laser-Induced Breakdown Spectroscopy (LIBS) …
aluminium scrap is using quantitative Laser-Induced Breakdown Spectroscopy (LIBS) …
Long-term repeatability improvement using beam intensity distribution for laser-induced breakdown spectroscopy
The relatively low measurement repeatability has long been considered as a major obstacle
to the widespread use and commercialization of laser-induced breakdown spectroscopy …
to the widespread use and commercialization of laser-induced breakdown spectroscopy …
Improving laser-induced breakdown spectroscopy regression models via transfer learning
Laser-induced breakdown spectroscopy (LIBS) is a well-established analytical tool with
relevance in extra-terrestrial exploration. Despite considerable efforts towards the …
relevance in extra-terrestrial exploration. Despite considerable efforts towards the …
[HTML][HTML] Wind turbine contaminant classification using machine learning techniques
It has been well established in the literature that surface contamination can adversely affect
the aerodynamic performance of aerofoils and hence the efficiency with which turbines can …
the aerodynamic performance of aerofoils and hence the efficiency with which turbines can …