相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。3D Sensing System for Laser-Induced Breakdown Spectroscopy-Based Metal Scrap Identification
Seongyun Park et al.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY (2022)
Machine learning and transfer learning for correction of the chemical and physical matrix effects in the determination of alkali and alkaline earth metals with LIBS in rocks
Sahar Shabbir et al.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2022)
A review of calibration-free laser-induced breakdown spectroscopy
Zhenlin Hu et al.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2022)
A brief review of laser-induced breakdown spectroscopy for human and animal soft tissues: pathological diagnosis and physiological detection
Qianqian Wang et al.
APPLIED SPECTROSCOPY REVIEWS (2021)
The Potential for XRF & LIBS Handheld Analyzers to Perform Material Characterization in Scrap Yards
Leslie Brooks et al.
JOURNAL OF SUSTAINABLE METALLURGY (2021)
Identifying microplastic litter with Laser Induced Breakdown Spectroscopy: A first approach
C. Sommer et al.
MARINE POLLUTION BULLETIN (2021)
From machine learning to transfer learning in laser-induced breakdown spectroscopy analysis of rocks for Mars exploration
Chen Sun et al.
SCIENTIFIC REPORTS (2021)
Quantitative analysis of cadmium in rice roots based on LIBS and chemometrics methods
Wei Wang et al.
ENVIRONMENTAL SCIENCES EUROPE (2021)
Comparison of different calibration techniques of laser induced breakdown spectroscopy in bakery products: on NaCl measurement
Gonca Bilge et al.
JOURNAL OF THE EUROPEAN OPTICAL SOCIETY-RAPID PUBLICATIONS (2021)
The effect of ablation angle on intensity of laser-induced breakdown spectroscopy under vacuum
Yueying Jia et al.
PHYSICA SCRIPTA (2021)
Role of laser fluence on ionic emission characteristics from steel plasmas induced in atmospheric air
Mohamed A. Khater et al.
RADIATION PHYSICS AND CHEMISTRY (2021)
Signal Generation using 1d Deep Convolutional Generative Adversarial Networks for Fault Diagnosis of Electrical Machines
Russell Sabir et al.
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2021)
Transfer learning improves the prediction performance of a LIBS model for metals with an irregular surface by effectively correcting the physical matrix effect
Sahar Shabbir et al.
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2021)
Classification of minerals and the assessment of lithium and beryllium content in granitoid rocks by laser-induced breakdown spectroscopy
Patrick Janovszky et al.
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2021)
Forensic analysis of hand-written documents using laser-induced breakdown spectroscopy (LIBS) and chemometrics
Felipe Ferri Hilario et al.
ANALYTICAL METHODS (2021)
Weighted-averaging-based classification of laser-induced breakdown spectroscopy measurements using most informative spectral lines
Ekta Srivastava et al.
PLASMA SCIENCE & TECHNOLOGY (2020)
Improvement in classification accuracy of stainless steel alloys by laser-induced breakdown spectroscopy based on elemental intensity ratio analysis
Sungho Shin et al.
PLASMA SCIENCE & TECHNOLOGY (2020)
Convolutional neural network as a novel classification approach for laser-induced breakdown spectroscopy applications in lithological recognition
Junxi Chen et al.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2020)
Evaluation and improvement of model robustness for plastics samples classification by laser-induced breakdown spectroscopy
Qianqian Wang et al.
OPTICS AND LASER TECHNOLOGY (2020)
Solver-informed neural networks for spectrum reconstruction of colloidal quantum dot spectrometers
Jinhui Zhang et al.
OPTICS EXPRESS (2020)
Assessment of the performance of quantitative feature-based transfer learning LIBS analysis of chromium in high temperature alloy steel samples
Fu Chang et al.
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2020)
Application of laser-induced breakdown spectroscopy in deep space exploration
Xu-Chen Nie
SECOND TARGET RECOGNITION AND ARTIFICIAL INTELLIGENCE SUMMIT FORUM (2020)
Identifying Ancient Ceramics Using Laser-Induced Breakdown Spectroscopy Combined with a Back Propagation Neural Network
Jiao He et al.
APPLIED SPECTROSCOPY (2019)
Identification of mine water inrush using laser-induced fluorescence spectroscopy combined with one-dimensional convolutional neural network
Feng Hu et al.
RSC ADVANCES (2019)
Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks
Ying Zhan et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)
LIBS analyses for industrial applications - an overview of developments from 2014 to 2018
Reinhard Noll et al.
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2018)
An LIBS quantitative analysis method for alloy steel at high temperature based on transfer learning
Jianhong Yang et al.
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2018)
Classification of wrought aluminum alloys by Artificial Neural Networks evaluation of Laser Induced Breakdown Spectroscopy spectra from aluminum scrap samples
B. Campanella et al.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2017)
An Approach to Reduce the Sample Consumption for LIBS based Identification of Explosive Materials
S. K. Anubham et al.
DEFENCE SCIENCE JOURNAL (2017)
Laser-Induced Breakdown Spectroscopy
Francisco J. Fortes et al.
ANALYTICAL CHEMISTRY (2013)
Laser-Induced Breakdown Spectroscopy (LIBS), Part II: Review of Instrumental and Methodological Approaches to Material Analysis and Applications to Different Fields
David W. Hahn et al.
APPLIED SPECTROSCOPY (2012)
Recent progress on the application of LIBS for metallurgical online analysis in China
Feng-Zhong Dong et al.
FRONTIERS OF PHYSICS (2012)
Laser induced breakdown spectroscopy for bulk minerals online analyses
M. Gaft et al.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2007)
Influence of laser wavelength on LIBS diagnostics applied to the analysis of ancient bronzes
L Fornarini et al.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY (2006)