Classification of Fruit Essential Oils Using Machine Learning Practices
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2742-5_17
Reference22 articles.
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2. Siavash R, Eslam P, Mohammad RG, Parviz N (2009) Investigation of different linear and nonlinear chemometric methods for modeling of retention index of essential oil components: concerns to support vector machine. J Hazard Mater 166(2–3):853–859. ISSN 0304-3894. https://doi.org/10.1016/j.jhazmat.2008.11.097
3. Papa R, Garzoli S, Vrenna G, Sabatino M, Sapienza F, Relucenti M, Donfrancesco O, Fiscarelli EV, Artini M, Selan L, Ragno R (2020) Essential oils biofilm modulation activity, chemical and machine learning analysis—application on staphylococcus aureus isolates from cystic fibrosis patients. Int J Mol Sci 21(23):9258. https://doi.org/10.3390/ijms21239258
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5. Ragno R, Papa R, Patsilinakos A (2020) Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches. Sci Rep 10(2653):3161. https://doi.org/10.1038/s41598-020-59553-8
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