Identification of the optimal subset of features for Feature Selection (FS) problems is a
demanding problem in machine learning and data mining. A trustworthy optimization …

Abstract Near-Infrared Spectroscopy (NIRS) has shown to be helpful in the study of rice, tea,
cocoa, and other foods due to its versatility and reduced sample treatment. However, the …

This study proposes an effective bearing fault diagnosis model based on an optimized
approach for feature selection. The measured signal of the electric motor is processed by …

Many-objective optimization problems are today ever more common. The decomposition-
based approach stands out among the evolutionary algorithms used for their solution, with …

Currently, coffee fermentation is visually operated, which results in incomplete or excessive
processes and coffees with undesirable characteristics. In front of it, pH and total soluble …

Social media plays an important role in facilitating conversations and news dissemination.
Specifically, Twitter has recently seen use by investors to facilitate discussions surrounding …

Este artículo presenta un servicio de clasificación documental que permite a los sistemas de
gestión documental de múltiples clientes brindar una mayor confianza y credibilidad sobre …

Investments made on the stock market depend on timely and credible information being
made available to investors. Such information can be sourced from online news articles …

Este artículo presenta un servicio de clasificación documental que permite a los sistemas de
gestión documental de múltiples clientes brindar una mayor confianza y credibilidad sobre …