Determination of hydrocarbon levels in water via laser-induced acoustics wave

Bidin, Noriah; Hossenian, Raheleh; Duralim, Maisarah; Krishnan, Ganesan; Marsin, Faridah Mohd; Nughro, Waskito; Zainal, Jasman

doi:10.1016/j.optlaseng.2015.11.002

Cited by 2 publications

(1 citation statement)

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“…generated acoustic waves using a method of laser-induced breakdown in conjunction with high-speed photographic coupling with a piezoelectric transducer to trace the propagation of acoustic waves and hydrocarbon levels in water. 12 Chromium can be detected in water using neodymium-doped yttrium aluminum garnet (Nd:YAG) Q-switched laser pulses. 13…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Associated with Laser-Induced Breakdown Spectroscopy (LIBS) for the Prediction of Lead in Soil

Zhao

Guindo

et al. 2019

Appl Spectrosc

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In this study, a method based on laser-induced breakdown spectroscopy (LIBS) was developed to detect soil contaminated with Pb. Different levels of Pb were added to soil samples in which tobacco was planted over a period of two to four weeks. Principal component analysis and deep learning with a deep belief network (DBN) were implemented to classify the LIBS data. The robustness of the method was verified through a comparison with the results of a support vector machine and partial least squares discriminant analysis. A confusion matrix of the different algorithms shows that the DBN achieved satisfactory classification performance on all samples of contaminated soil. In terms of classification, the proposed method performed better on samples contaminated for four weeks than on those contaminated for two weeks. The results show that LIBS can be used with deep learning for the detection of heavy metals in soil.

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Section: Introductionmentioning

confidence: 99%