Mid-Infrared laser spectroscopy detection and quantification of explosives in soils using multivariate analysis and artificial intelligence
A tunable quantum cascade laser (QCL) spectrometer was used to develop methods for detecting and quantifying high explosives (HE) in soil based on multivariate analysis (MVA) and artificial intelligence (AI). For quantification, mixes of 2,4-dinitrotoluene (DNT) of concentrations from 0% to 20% w/w...
- Autores:
-
Pacheco-Londoño, Leonardo C.
Warren, Eric
Galán-Freyle, Nataly J.
Villarreal-González, Reynaldo
Aparicio-Bolaño, Joaquín A.
Ospina-Castro, María L.
Shih, Wei-Chuan
Hernández-Rivera, Samuel P.
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/5967
- Palabra clave:
- Quantum cascade laser
Remote detection
Partial least squares
High explosives
Artificial intelligence
Machine learning
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional