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An Improvised Machine Learning Model Based on Mutual Information Feature Selection Approach for Microbes Classification
The accurate classification of microbes is critical in today’s context for monitoring the ecological balance of a habitat. Hence, in this research work, a novel method to automate the process of identifying microorganisms has been implemented. To extract the bodies of microorganisms accurately, a ge...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7927045/ https://www.ncbi.nlm.nih.gov/pubmed/33672252 http://dx.doi.org/10.3390/e23020257 |