DIAGNOSIS OF THE DISEASE USING AN ANT COLONY GENE SELECTION METHOD BASED ON INFORMATION GAIN RATIO USING FUZZY ROUGH SETS

Diagnosis of the disease using an ant colony gene selection method based on information gain ratio using fuzzy rough sets

With the advancement of metagenome data mining science has become focused on microarrays.Microarrays are datasets with a large number of genes that are usually irrelevant to the output class; hence, the process of gene selection or feature selection is essential.So, it follows that you can remove redundant genes and increase the speed and accuracy

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Orchid2024: A cultivar-level dataset and methodology for fine-grained classification of Chinese Cymbidium Orchids

Abstract Background Chinese Cymbidium orchids, cherished for their deep-rooted cultural significance and significant economic value in China, have spawned a rich tapestry of cultivars.However, these orchid cultivars are facing challenges from insufficient cultivation practices and antiquated techniques, including cultivar misclassification, complex

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Controlabilidad de ecuaciones diferenciales retardadas semilineales impulsivas con retardo infinito y condiciones no locales

In this paper, we prove the exact controllability of Tights semilinear retarded equations with infinity delay, impulses and nonlocal conditions; proving the conjecture that the controllability is preserve under the influence of delay, impulses and nonlocal conditions if some conditions are assumedon the nonlinear terms.As an application sharpener o

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