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Identification accuracy improvement for steel species using a least squares support vector machine and laser-induced breakdown spectroscopy

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/wics.51openalex-snapshot

Partial least squares regression and projection on latent structure regression (PLS Regression)

inferredcites →https://doi.org/10.1007/978-3-642-45085-3openalex-snapshot

Laser-induced breakdown spectroscopy : theory and applications

inferredcites →https://doi.org/10.1007/s11467-013-0410-0openalex-snapshot

Laser-induced breakdown spectroscopy in China

inferredcites →https://doi.org/10.1007/s11771-005-0128-4openalex-snapshot

Support vector machine based nonlinear model multi-step-ahead optimizing predictive control

inferredcites →https://doi.org/10.1016/j.eng.2017.04.025openalex-snapshot

Clean Energy: Opportunities and Challenges

inferredcites →https://doi.org/10.1016/j.patcog.2010.12.017openalex-snapshot

A set of new Chebyshev kernel functions for support vector machine pattern classification

inferredcites →https://doi.org/10.1016/j.proenv.2011.12.085openalex-snapshot

Parameter Selection Algorithm for Support Vector Machine

inferredcites →https://doi.org/10.1016/j.sab.2007.10.005openalex-snapshot

A numerical study of expected accuracy and precision in Calibration-Free Laser-Induced Breakdown Spectroscopy in the assumption of ideal analytical plasma

inferredcites →https://doi.org/10.1016/j.sab.2009.07.005openalex-snapshot

Multivariate analysis of laser-induced breakdown spectroscopy chemical signatures for geomaterial classification

inferredcites →https://doi.org/10.1016/j.sab.2009.07.025openalex-snapshot

Preliminary evaluation of laser-induced breakdown spectroscopy for tissue classification

inferredcites →https://doi.org/10.1016/j.sab.2010.12.007openalex-snapshot

Influence of variable selection on partial least squares discriminant analysis models for explosive residue classification

inferredcites →https://doi.org/10.1016/j.talanta.2011.09.040openalex-snapshot

Laser-induced breakdown spectroscopy-based investigation and classification of pharmaceutical tablets using multivariate chemometric analysis

inferredcites →https://doi.org/10.1017/cbo9780511541261openalex-snapshot

Laser-Induced Breakdown Spectroscopy (LIBS)

inferredcites →https://doi.org/10.1021/ac202755eopenalex-snapshot

Incorporation of Support Vector Machines in the LIBS Toolbox for Sensitive and Robust Classification Amidst Unexpected Sample and System Variability

inferredcites →https://doi.org/10.1039/c2ja30104kopenalex-snapshot

Improving data stability and prediction accuracy in laser-induced breakdown spectroscopy by utilizing a combined atomic and ionic line algorithm

inferredcites →https://doi.org/10.1039/c4ja00217bopenalex-snapshot

A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)

inferredcites →https://doi.org/10.1039/c7ja00204aopenalex-snapshot

Wavelet-based interference correction for laser-induced breakdown spectroscopy

inferredcites →https://doi.org/10.1177/0003702816631313openalex-snapshot

Quantitative Analysis of Carbon Steel with Multi-Line Internal Standard Calibration Method Using Laser-Induced Breakdown Spectroscopy

inferredcites →https://doi.org/10.1364/ao.47.00g112openalex-snapshot

Multivariate analysis of standoff laser-induced breakdown spectroscopy spectra for classification of explosive-containing residues

inferredcites →https://doi.org/10.1364/ao.51.004612openalex-snapshot

Quantitative elemental analysis of steel using calibration-free laser-induced breakdown spectroscopy

inferredcites →https://doi.org/10.1364/ao.51.00b130openalex-snapshot

Comparison of two partial least squares-discriminant analysis algorithms for identifying geological samples with the ChemCam laser-induced breakdown spectroscopy instrument

inferredcites →https://doi.org/10.1364/ao.53.000544openalex-snapshot

Classification of steel materials by laser-induced breakdown spectroscopy coupled with support vector machines

inferredcites →https://doi.org/10.1364/ao.56.009144openalex-snapshot

On-stream analysis of iron ore slurry using laser-induced breakdown spectroscopy

inferredcites →https://doi.org/10.1364/oe.20.0a1011openalex-snapshot

Utilization of moderate cylindrical confinement for precision improvement of laser-induced breakdown spectroscopy signal

inferredcites →https://doi.org/10.1364/oe.23.007795openalex-snapshot

Acidity measurement of iron ore powders using laser-induced breakdown spectroscopy with partial least squares regression

inferredcites →https://doi.org/10.1364/oe.24.002607openalex-snapshot

Background removal in soil analysis using laser- induced breakdown spectroscopy combined with standard addition method

inferredcites →https://doi.org/10.1366/0003702874448742openalex-snapshot

The Analysis of Metals at a Distance Using Laser-Induced Breakdown Spectroscopy

inferredcites →https://doi.org/10.4236/eng.2011.34049openalex-snapshot

Application of Least Square Support Vector Machine (LSSVM) for Determination of Evaporation Losses in Reservoirs

inferredcites →https://doi.org/10.4304/jmm.5.1.55-62openalex-snapshot

Constrained Surface Recovery Using RBF and Its Efficiency Improvements

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Classification of Steel Samples Using Machine Learning Methods on Narrow and Information Rich Libs Spectra

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Discrimination of ginseng origin by using laser‐induced breakdown spectrum and machine learning algorithms

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Rapid detection and identification of rocks and minerals by laser‐induced breakdown spectroscopy

inferred← citeshttps://doi.org/10.1007/s10812-026-02168-0openalex-snapshot

Self-Absorption Correction Method Based on Blackbody Radiation Referenced-Particle Swarm Optimization

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Rapid classification of whole milk powder and skimmed milk powder by laser-induced breakdown spectroscopy combined with feature processing method and logistic regression

inferred← citeshttps://doi.org/10.1016/j.aca.2021.339053openalex-snapshot

Improvement of sample discrimination using laser-induced breakdown spectroscopy with multiple-setting spectra

inferred← citeshttps://doi.org/10.1016/j.aca.2024.343496openalex-snapshot

Combination of plasma acoustic emission signal and laser-induced breakdown spectroscopy for accurate classification of steel

inferred← citeshttps://doi.org/10.1016/j.chemolab.2020.103930openalex-snapshot

Rapid discrimination of Salvia miltiorrhiza according to their geographical regions by laser induced breakdown spectroscopy (LIBS) and particle swarm optimization-kernel extreme learning machine (PSO-KELM)

inferred← citeshttps://doi.org/10.1016/j.ejpb.2024.114579openalex-snapshot

Homogeneity analysis of medicine tablets by laser induced breakdown spectroscopy combined with multivariate methods

inferred← citeshttps://doi.org/10.1016/j.electacta.2021.137848openalex-snapshot

From waste high speed steel alloy to valuable oxygen evolution reaction catalyst in alkaline medium

inferred← citeshttps://doi.org/10.1016/j.ijleo.2021.167301openalex-snapshot

The effect of self-absorption compensation methods on the quantitative analysis of soil samples using Laser-induced breakdown spectroscopy

inferred← citeshttps://doi.org/10.1016/j.measurement.2023.112724openalex-snapshot

Identification and classification of bearing steel bars based on low-frequency eddy current detection method

inferred← citeshttps://doi.org/10.1016/j.microc.2021.106530openalex-snapshot

Accurate identification of soluble solid content in citrus by indirect laser-induced breakdown spectroscopy with its leaves

inferred← citeshttps://doi.org/10.1016/j.sab.2024.106857openalex-snapshot

Effects of feature engineering on the robustness of laser-induced breakdown spectroscopy for industrial steel classification

inferred← citeshttps://doi.org/10.1021/acs.analchem.4c05707openalex-snapshot

From 1-D to 3-D: LIBS Pseudohyperspectral Data Cube Deep Learning Mechanism Used in Nuclear Metal Materials Classification

inferred← citeshttps://doi.org/10.1039/c3ja90051gopenalex-snapshot

Atomic spectrometry update. Review of advances in the analysis of metals, chemicals and materials

inferred← citeshttps://doi.org/10.1039/c9ay02443copenalex-snapshot

Classification and identification of brands of iron ores using laser-induced breakdown spectroscopy combined with principal component analysis and artificial neural networks

inferred← citeshttps://doi.org/10.1039/c9ja90058fopenalex-snapshot

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

inferred← citeshttps://doi.org/10.1039/d1ja00082aopenalex-snapshot

Quantitative determination of Al–Cu–Mg–Fe–Ni aluminum alloy using laser-induced breakdown spectroscopy combined with LASSO–LSSVM regression

inferred← citeshttps://doi.org/10.1039/d1ja00257kopenalex-snapshot

Quantitative analysis of Cr in soil based on variable selection coupled with multivariate regression using laser-induced breakdown spectroscopy

inferred← citeshttps://doi.org/10.1039/d3ay01129aopenalex-snapshot

Visualization of laser-induced breakdown spectroscopy data of mouse organs based on the feature extraction method

inferred← citeshttps://doi.org/10.1039/d3ja00448aopenalex-snapshot

Fast fingerprint scanning and chemical composition identification of a large-scale material surface by a combined HSI-LIBS operation

inferred← citeshttps://doi.org/10.1039/d5ja00144gopenalex-snapshot

Enhancing LIBS analysis accuracy of C element in low-carbon alloy steel by automatic segmented modelling with nonlinear-regression-based spectral line selection and Mahalanobis distance kernel space classification

inferred← citeshttps://doi.org/10.1039/d5ja00288eopenalex-snapshot

Deep recurrent neural networks with spectral-statistical fusion for industrial-grade steel alloy classification using femtosecond laser-ablation spark-induced breakdown spectroscopy

inferred← citeshttps://doi.org/10.1080/05704928.2020.1843175openalex-snapshot

A brief review of new data analysis methods of laser-induced breakdown spectroscopy: machine learning

inferred← citeshttps://doi.org/10.1088/1402-4896/ad732bopenalex-snapshot

Steel grades classification and heating defects detection of bearing steel bars via pulse eddy current testing

inferred← citeshttps://doi.org/10.1088/1555-6611/ac756bopenalex-snapshot

A novel approach in pharmaceutical analysis by laser induced breakdown spectroscopy combined with chemometric methods and artificial neural network

inferred← citeshttps://doi.org/10.1088/2058-6272/ac071bopenalex-snapshot

A strategy to significantly improve the classification accuracy of LIBS data: application for the determination of heavy metals in Tegillarca granosa

inferred← citeshttps://doi.org/10.1155/2022/6260395openalex-snapshot

SVM‐Based Real‐Time Identification Model of Dangerous Traffic Stream State

inferred← citeshttps://doi.org/10.1364/oe.451969openalex-snapshot

Classification of steel using laser-induced breakdown spectroscopy combined with deep belief network

inferred← citeshttps://doi.org/10.32548/2023.me-04258openalex-snapshot

Experimental Study On 3D Acoustic Emission Source Location of Concrete Based On Sparse Least-Squares Support Vector Regression

inferred← citeshttps://doi.org/10.3390/app12104981openalex-snapshot

Application of Laser-Induced Breakdown Spectroscopy Combined with Chemometrics for Identification of Penicillin Manufacturers

inferred← citeshttps://doi.org/10.3390/chemosensors10060220openalex-snapshot

Classification of Aviation Alloys Using Laser-Induced Breakdown Spectroscopy Based on a WT-PSO-LSSVM Model

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