The explosive growth of information technology has encouraged organizations to use new
technologies in all areas. These changes are also visible in the banking industry. In this …

Higher education institutions have consistently strived to provide students with top-notch
education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify …

Data are becoming more important in education since they allow for the analysis and
prediction of future behaviour to improve academic performance and quality at educational …

Today, with the abundance of private banks, state-owned banks and financial and credit
institutions, banks are trying to satisfy customers more than ever in order to be preferred by …

Objetivo: Proponer una metodología multicriterio para la clasificación de clientes,
considerando algoritmos KNN como sustento para la planeación agregada, a partir de una …

To maximize and get population document services closer to the community, the Disdukcapil
district of Alor provides mobile services by visiting people in remote villages which difficult-to …

Abstract [eng] The study explores the application of data analytics and machine learning to
forecast academic outcomes, with the aim of ensuring effective and sustainable e-learning …

This study investigates the use of machine learning (ML) methods to predict the academic
performance of second-year undergraduate students based on data collected from a 2021 …

Rapid population growth and urbanization, coupled with technological advancements, have
driven higher electricity demand, predominantly sourced from contributors to climate …

Currently, the analyses of and prediction using COVID-19-related data extracted from patient
information repositories compiled by hospitals and health organizations are of paramount …