Feature selection (FS) in data mining is one of the most challenging and most important
activities in pattern recognition. In this article, a new hybrid model of whale optimization …

Efficient numerical linear algebra is a core ingredient in many applications across almost all
scientific and industrial disciplines. With this survey we want to illustrate that numerical linear …

La tecnología y las ciencias humanas son el impulso que mueve a toda civilización a
mejorar el estatus global de aquellos que componen su sociedad. Las revoluciones …

A fast inter-prediction mode decision and motion search algorithm is proposed for the H. 264
video coding standard. The multi-resolution motion estimation scheme and an adaptive rate …

In online complex systems such as transportation system, an important work is real-time
traffic prediction. Due to the data shift, data model inconsistency, and sudden change of …

Background: Nonalcoholic Fatty Liver Disease (NAFLD) as a prevalent condition can
significantly have health implications. Early detection and accurate grading of NAFLD are …

Background Quantifying and dealing with lack of consistency in administrative databases
(namely, under-coding) requires tracking patients longitudinally without compromising …

This research paper presents a comprehensive analysis of contraceptive discontinuation
and its influencing factors. Using a dataset encompassing diverse socio-economic and …

Urbanisation and permission to own private vehicles promoted vehicular networks to be
intelligent and automatic decision-makers. To reduce congestion on roads and provide …

The authors consider the efficiency of the data mining method for analyzing the verbalization
specifics of the ESG indexes on the example of business documentation and …