Rosales-MartÃnez, O.; Granda-Gutiérrez, E.E.; GarcÃa-Hernández, R.A.; Alejo-Eleuterio, R.; Flores-Fuentes, A.A.
Spectral Derivatives Improve FTIR-Based Machine Learning Classification of Plastic Polymers. Modelling 2025, 6, 115.
https://doi.org/10.3390/modelling6040115
AMA Style
Rosales-MartÃnez O, Granda-Gutiérrez EE, GarcÃa-Hernández RA, Alejo-Eleuterio R, Flores-Fuentes AA.
Spectral Derivatives Improve FTIR-Based Machine Learning Classification of Plastic Polymers. Modelling. 2025; 6(4):115.
https://doi.org/10.3390/modelling6040115
Chicago/Turabian Style
Rosales-MartÃnez, Octavio, Everardo Efrén Granda-Gutiérrez, René Arnulfo GarcÃa-Hernández, Roberto Alejo-Eleuterio, and Allan Antonio Flores-Fuentes.
2025. "Spectral Derivatives Improve FTIR-Based Machine Learning Classification of Plastic Polymers" Modelling 6, no. 4: 115.
https://doi.org/10.3390/modelling6040115
APA Style
Rosales-MartÃnez, O., Granda-Gutiérrez, E. E., GarcÃa-Hernández, R. A., Alejo-Eleuterio, R., & Flores-Fuentes, A. A.
(2025). Spectral Derivatives Improve FTIR-Based Machine Learning Classification of Plastic Polymers. Modelling, 6(4), 115.
https://doi.org/10.3390/modelling6040115