Energetic materials identification by laser-induced breakdown spectroscopy combined with artificial neural network
Author:
Publisher
The Optical Society
Reference27 articles.
1. Standoff detection of explosives: critical comparison for ensuing options on Raman spectroscopy–LIBS sensor fusion
2. Laser methods for detecting explosive residues on surfaces of distant objects
3. Laser-Induced Breakdown Spectroscopy (LIBS), Part I: Review of Basic Diagnostics and Plasma—Particle Interactions: Still-Challenging Issues within the Analytical Plasma Community
4. A novel approach for investigation of chemical aging in composite propellants through laser-induced breakdown spectroscopy (LIBS)
5. Approach for determination of detonation performance and aluminum percentage of aluminized-based explosives by laser-induced breakdown spectroscopy
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1. Aged Transformer Oil Analysis Through Laser-Induced Breakdown Spectroscopy;IEEE Transactions on Dielectrics and Electrical Insulation;2024-08
2. Machine learning in laser-induced breakdown spectroscopy: A review;Frontiers of Physics;2024-07-12
3. Laser-induced breakdown spectroscopy combined with multivariate linear discriminant analysis for discriminating different growth phases of bacteria;Journal of Analytical Atomic Spectrometry;2024
4. Rapid classification of whole milk powder and skimmed milk powder by laser-induced breakdown spectroscopy combined with feature processing method and logistic regression;Analytical Sciences;2023-12-11
5. Assessment of the terminal velocity of explosively-propelled metal liner using laser-induced breakdown spectroscopy;Journal of Energetic Materials;2023-10-29
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