LIBS as a spectral sensor for monitoring metallic molten phase in metallurgical applications—a review

AK Myakalwar, C Sandoval, M Velásquez, D Sbarbaro… - Minerals, 2021 - mdpi.com
This review article discusses the latest advances on molten phase monitoring in
metallurgical processes by using Laser-Induced Breakdown Spectroscopy (LIBS). LIBS is an …

Rapid origin identification of chrysanthemum morifolium using laser-induced breakdown spectroscopy and chemometrics

N Hao, X Gao, Q Zhao, P Miao, J Cheng, Z Li… - Postharvest Biology and …, 2023 - Elsevier
Chrysanthemum is widely grown throughout China, but there are large differences in quality,
chemical composition and price among chrysanthemum from different origins, and similar …

Improved elemental quantification in copper ores by laser-induced breakdown spectroscopy with judicious data processing

M Velásquez, J Álvarez, C Sandoval, E Ramírez… - … Acta Part B: Atomic …, 2022 - Elsevier
The trading price and taxes of copper-concentrate exports depend on the chemical
composition. Valuable elements such as Cu, Ag, and Mo increase the price while the …

Machine learning in laser-induced breakdown spectroscopy: A review

Z Hao, K Liu, Q Lian, W Song, Z Hou, R Zhang… - Frontiers of …, 2024 - Springer
Laser-induced breakdown spectroscopy (LIBS) is a spectroscopic analytic technique with
great application potential because of its unique advantages for online/in-situ detection …

ANN-LIBS analysis of mixture plasmas: detection of xenon

H Saeidfirozeh, AK Myakalwar, P Kubelík… - Journal of Analytical …, 2022 - pubs.rsc.org
We developed an artificial neural network method for characterising crucial physical plasma
parameters (ie, temperature, electron density, and abundance ratios of ionisation states) in a …

Application of laser-induced breakdown spectroscopy with a generalized regression neural network and LASSO-type methods for estimation of arsenic and chromium …

E Harefa, N Li, W Zhou - Journal of Analytical Atomic Spectrometry, 2022 - pubs.rsc.org
The identification of heavy metals in soil, specifically arsenic (As) and chromium (Cr), is
critical for evaluating the preservation and quality of the soil. Laser-induced breakdown …

Hybrid machine learning system based on multivariate data decomposition and feature selection for improved multitemporal evapotranspiration forecasting

J Lee, SM Bateni, C Jun, E Heggy, M Jamei… - … Applications of Artificial …, 2024 - Elsevier
Evapotranspiration is an essential component of the hydrological cycle. Forecasting the
reference crop evapotranspiration (ET o) using a reliable and generalized framework is …

Comparison of convolutional and conventional artificial neural networks for laser-induced breakdown spectroscopy quantitative analysis

F Poggialini, B Campanella, S Legnaioli… - Applied …, 2022 - journals.sagepub.com
The introduction of “deep learning” algorithms for feature identification in digital imaging has
paved the way for artificial intelligence applications that up to a decade ago were …

Progress in arsenic determination at low levels in copper ores by laser-induced breakdown spectroscopy

M Velásquez, AK Myakalwar, S Manzoor… - … Acta Part B: Atomic …, 2022 - Elsevier
Arsenic determination by LIBS at low levels is a challenging analytical task due to its low
sensitivity, limited number of available emission lines, and spectral interferences. In this …

A versatile method for quantitative analysis of total iron content in iron ore using laser-induced breakdown spectroscopy

P Su, X Wu, C Li, C Yan, Y An, S Liu - Applied Spectroscopy, 2023 - journals.sagepub.com
Focus in quality assessment of iron ore is the content of total iron (TFe). Laser-induced
breakdown spectroscopy (LIBS) technology possesses the merits of rapid, in situ, real-time …