Evaluation of ensemble data preprocessing strategy on forensic gasoline classification using untargeted GC–MS data and classification and regression tree (CART) algorithm-Reference-Cited by-同舟云学术

Evaluation of ensemble data preprocessing strategy on forensic gasoline classification using untargeted GC–MS data and classification and regression tree (CART) algorithm

Published:2022-11 Issue: Volume:182 Page:107911
ISSN:0026-265X
Container-title:Microchemical Journal
language:en
Short-container-title:Microchemical Journal

Author:

Md Ghazi Md Gezani Bin,Lee Loong Chuen,Samsudin Aznor Sheda Binti,Sino Hukil

Publisher

Elsevier BV

Subject

Spectroscopy,Analytical Chemistry

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3. Recognition of gasoline in fire debris using machine learning: Part II Application of a neural network;Bogdal;Forensic Sci. Int.,2022

4. Review of Contemporary Chemometric Strategies Applied on preparing GC-MS data in forensic analysis;Md Ghazi;Microchem. J.,2022

5. Development and evaluation of semi-destructive, ultrasound assisted extraction method followed by gas chromatography coupled to mass spectrometry enabling discrimination of red lipstick samples;Gladysz;J. Chromatogr. A,2018

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