Cardiovascular diseases (CVDs) are now the leading cause of death, as the quality of life
and human habits have changed significantly. CVDs are accompanied by various …

The addressed machine scheduling problem considers parallel machines with incompatible
job families, sequence-dependent setup times, limited batch capacities, and arbitrary sizes …

Data-driven methods have become increasingly widespread in the chemical industry;
however, these methods require sufficient data for effective implementation. Moreover …

Understanding the occurrence of earth fissures in arid regions is crucial for informing land
management practices and conservation strategies. In this study, we evaluate six innovative …

The coronavirus disease (COVID-19) pandemic was caused by the SARS-CoV-2 virus and
began in December 2019. The virus was first reported in the Wuhan region of China. It is a …

This paper presents a computationally efficient variant of Gradient Boosting (GB) for multi-
class classification and multi-output regression tasks. Standard GB uses a 1-vs-all strategy …

Purpose: The per capita expenditure data in Jambi Province, Indonesia have been plagued
with severe multicollinearity problems. To address the issue, this study developed an …

Variable annuities (VA) are insurance products that offer long-term equity market investment
with minimum guaranteed benefits linked to the performance of the investment portfolio …

To improve the model accuracy of deep stochastic configuration network (DSCN) in
multitarget robust parameter modeling tasks, this paper presents a multitarget robust DSCN …

Although the impact of machine learning methods in the educational sciences has been
limited, recent opportunities have emerged that can benefit from these flexible methods …