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Applications of laser induced breakdown spectroscopy in geotechnical engineering: a critical review of recent developments, perspectives and challenges
A comparative performance of machine learning algorithms on laser‐induced breakdown spectroscopy data of minerals
Gian Alix, Elizabeth Lymer, Guanlin Zhang, Michael Daly and Xin Gao Journal of Chemometrics 37(9) (2023) https://doi.org/10.1002/cem.3400
Quantitative Compositional Analyses of Calcareous Rocks for Lime Industry Using LIBS
Juri Agresti, Carlo Indelicato, Matteo Perotti, Roberto Moreschi, Iacopo Osticioli, Ilaria Cacciari, Andrea Azelio Mencaglia and Salvatore Siano Molecules 27(6) 1813 (2022) https://doi.org/10.3390/molecules27061813
Improved elemental quantification in copper ores by laser-induced breakdown spectroscopy with judicious data processing
Marizú Velásquez, Jonnathan Álvarez, Claudio Sandoval, et al. Spectrochimica Acta Part B: Atomic Spectroscopy 188 106343 (2022) https://doi.org/10.1016/j.sab.2021.106343
Elemental Determination in Stainless Steel via Laser-Induced Breakdown Spectroscopy and Back-Propagation Artificial Intelligence Network with Spectral Pre-Processing
Comparison of different calibration techniques of laser induced breakdown spectroscopy in bakery products: on NaCl measurement
Gonca Bilge, Kemal Efe Eseller, Halil Berberoglu, et al. Journal of the European Optical Society-Rapid Publications 17(1) (2021) https://doi.org/10.1186/s41476-021-00164-9
Simultaneous quantification of Au and Ag composition from Au–Ag bi-metallic LIBS spectra combined with shallow neural network model for multi-output regression
Comparison of machine learning techniques to optimize the analysis of plutonium surrogate material via a portable LIBS device
Ashwin P. Rao, Phillip R. Jenkins, John D. Auxier II and Michael B. Shattan Journal of Analytical Atomic Spectrometry 36(2) 399 (2021) https://doi.org/10.1039/D0JA00435A
Principles, developments and applications of laser-induced breakdown spectroscopy in agriculture: A review
Improvement of the performances of a commercial hand-held laser-induced breakdown spectroscopy instrument for steel analysis using multiple artificial neural networks
Automatic preprocessing of laser-induced breakdown spectra using partial least squares regression and feed-forward artificial neural network: Applications to Earth and Mars data
Ebo Ewusi-Annan, Dorothea M. Delapp, Roger C. Wiens and Noureddine Melikechi Spectrochimica Acta Part B: Atomic Spectroscopy 171 105930 (2020) https://doi.org/10.1016/j.sab.2020.105930
Quantitative Analysis of Carbon with Laser-Induced Breakdown Spectroscopy (LIBS) Using Genetic Algorithm and Back Propagation Neural Network Models
An Innovative Approach to Meteorite Analysis by Laser‐Induced Breakdown Spectroscopy
Giorgio S. Senesi, Gioacchino Tempesta, Paola Manzari and Giovanna Agrosì Geostandards and Geoanalytical Research 40(4) 533 (2016) https://doi.org/10.1111/ggr.12126
Analytical-performance improvement of laser-induced breakdown spectroscopy for steel using multi-spectral-line calibration with an artificial neural network
Kuohu Li, Lianbo Guo, Changmao Li, et al. Journal of Analytical Atomic Spectrometry 30(7) 1623 (2015) https://doi.org/10.1039/C5JA00089K
Precise alignment of the collection fiber assisted by real-time plasma imaging in laser-induced breakdown spectroscopy
Calibration free laser-induced breakdown spectroscopy of oxide materials
B. Praher, V. Palleschi, R. Viskup, J. Heitz and J.D. Pedarnig Spectrochimica Acta Part B: Atomic Spectroscopy 65(8) 671 (2010) https://doi.org/10.1016/j.sab.2010.03.010
Owen T. Butler, W. R. L. Cairns, Jennifer M. Cook and Christine M. Davidson J. Anal. At. Spectrom. 25(2) 103 (2010) https://doi.org/10.1039/B925232K
Advances in atomic spectrometry and related techniques
E. Hywel Evans, Jason A. Day, Christopher Palmer and Clare M. M. Smith. Journal of Analytical Atomic Spectrometry 25(6) 760 (2010) https://doi.org/10.1039/c005211f
Laser-induced breakdown spectroscopy with artificial neural network processing for material identification