Quantitative analysis of sinters using laser-induced breakdown spectroscopy (LIBS) coupled with kernel-based extreme learning machine (K-ELM)

Classification of iron ore based on acidity and alkalinity by laser induced breakdown spectroscopy coupled with N-nearest neighbours (N3)

(2016) Chunhua Yan et al.   Analytical Methods

Acidity analysis of iron ore based on calibration-free laser-induced breakdown spectroscopy (CF-LIBS) combined with a binary search algorithm (BSA)

(2016) Zhanmei Wang et al.   RSC Advances

A kernel extreme learning machine algorithm based on improved particle swam optimization

(2016) Huijuan Lu et al.   Memetic Computing

Classification of iron ores by laser-induced breakdown spectroscopy (LIBS) combined with random forest (RF)

(2015) Liwen Sheng et al.   JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY

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

(2015) Z.Q. Hao et al.   OPTICS EXPRESS

Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search

(2015) Pak Kin Wong et al.   RENEWABLE ENERGY

Portable X-ray fluorescence analysis of mineral and organic soils and the influence of organic matter

(2014) C.A. Shand et al.   JOURNAL OF GEOCHEMICAL EXPLORATION

Laser-Induced Breakdown Spectroscopy (LIBS), Part II: Review of Instrumental and Methodological Approaches to Material Analysis and Applications to Different Fields

(2012) David W. Hahn et al.   APPLIED SPECTROSCOPY

Laser induced breakdown spectroscopy for fast elemental analysis and sorting of metallic scrap pieces using certified reference materials

(2012) J. Gurell et al.   SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Comparison of principal components regression, partial least squares regression, multi-block partial least squares regression, and serial partial least squares regression algorithms for the analysis of Fe in iron ore using LIBS

(2011) P. Yaroshchyk et al.   JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY

Assessment of statistical uncertainty in the quantitative analysis of solid samples in motion using laser-induced breakdown spectroscopy

(2010) L.M. Cabalín et al.   SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY

The development of fieldable laser-induced breakdown spectrometer: No limits on the horizon

(2010) F.J. Fortes et al.   SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY

Laser-Induced Breakdown Spectroscopy—Capabilities and Limitations

(2009) David A. Cremers et al.   APPLIED SPECTROSCOPY REVIEWS

Laser-induced breakdown spectroscopy—From research to industry, new frontiers for process control

(2008) Reinhard Noll et al.   SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY

Multi-element analysis of iron ore pellets by Laser-induced Breakdown Spectroscopy and Principal Components Regression

(2008) D.L. Death et al.   SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY