Classification of the Residues after High and Low Order Explosions Using Machine Learning Techniques on Fourier Transform Infrared (FTIR) Spectra

10.3390/molecules28052233

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Bibliographic Details
Main Authors:	Banas, Agnieszka M, Banas, Krzysztof, Breese, Mark BH
Other Authors:	PHYSICS
Format:	Article
Language:	English
Published:	MDPI 2023
Subjects:	Science & Technology Life Sciences & Biomedicine Physical Sciences Biochemistry & Molecular Biology Chemistry, Multidisciplinary Chemistry high and low order explosions machine learning techniques Fourier Transform Infrared (FTIR) spectroscopy spectral analysis explosive residues SPECTROSCOPY
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/243051
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-243051
record_format	dspace
spelling	sg-nus-scholar.10635-2430512024-11-14T18:38:57Z Classification of the Residues after High and Low Order Explosions Using Machine Learning Techniques on Fourier Transform Infrared (FTIR) Spectra Banas, Agnieszka M Banas, Krzysztof Breese, Mark BH PHYSICS SINGAPORE SYNCHROTRON LIGHT SOURCE Dr Krzysztof Banas Science & Technology Life Sciences & Biomedicine Physical Sciences Biochemistry & Molecular Biology Chemistry, Multidisciplinary Chemistry high and low order explosions machine learning techniques Fourier Transform Infrared (FTIR) spectroscopy spectral analysis explosive residues SPECTROSCOPY 10.3390/molecules28052233 MOLECULES 28 5 2023-07-12T06:17:04Z 2023-07-12T06:17:04Z 2023-03 2023-07-12T03:54:12Z Article Banas, Agnieszka M, Banas, Krzysztof, Breese, Mark BH (2023-03). Classification of the Residues after High and Low Order Explosions Using Machine Learning Techniques on Fourier Transform Infrared (FTIR) Spectra. MOLECULES 28 (5). ScholarBank@NUS Repository. https://doi.org/10.3390/molecules28052233 1420-3049 https://scholarbank.nus.edu.sg/handle/10635/243051 en MDPI Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Science & Technology Life Sciences & Biomedicine Physical Sciences Biochemistry & Molecular Biology Chemistry, Multidisciplinary Chemistry high and low order explosions machine learning techniques Fourier Transform Infrared (FTIR) spectroscopy spectral analysis explosive residues SPECTROSCOPY
spellingShingle	Science & Technology Life Sciences & Biomedicine Physical Sciences Biochemistry & Molecular Biology Chemistry, Multidisciplinary Chemistry high and low order explosions machine learning techniques Fourier Transform Infrared (FTIR) spectroscopy spectral analysis explosive residues SPECTROSCOPY Banas, Agnieszka M Banas, Krzysztof Breese, Mark BH Classification of the Residues after High and Low Order Explosions Using Machine Learning Techniques on Fourier Transform Infrared (FTIR) Spectra
description	10.3390/molecules28052233
author2	PHYSICS
author_facet	PHYSICS Banas, Agnieszka M Banas, Krzysztof Breese, Mark BH
format	Article
author	Banas, Agnieszka M Banas, Krzysztof Breese, Mark BH
author_sort	Banas, Agnieszka M
title	Classification of the Residues after High and Low Order Explosions Using Machine Learning Techniques on Fourier Transform Infrared (FTIR) Spectra
title_short	Classification of the Residues after High and Low Order Explosions Using Machine Learning Techniques on Fourier Transform Infrared (FTIR) Spectra
title_full	Classification of the Residues after High and Low Order Explosions Using Machine Learning Techniques on Fourier Transform Infrared (FTIR) Spectra
title_fullStr	Classification of the Residues after High and Low Order Explosions Using Machine Learning Techniques on Fourier Transform Infrared (FTIR) Spectra
title_full_unstemmed	Classification of the Residues after High and Low Order Explosions Using Machine Learning Techniques on Fourier Transform Infrared (FTIR) Spectra
title_sort	classification of the residues after high and low order explosions using machine learning techniques on fourier transform infrared (ftir) spectra
publisher	MDPI
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/243051
_version_	1821195381031043072

Classification of the Residues after High and Low Order Explosions Using Machine Learning Techniques on Fourier Transform Infrared (FTIR) Spectra

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