The intense increase in air pollution caused by vehicular emissions is one of the main
causes of changing weather patterns and deteriorating health conditions. Furthermore …

Geographic spaces is a vast and complex system involving multiple elements and nonlinear
interactions of these elements, and rich in geographical phenomena, processes and …

Text classification has been highlighted as the key process to organize online texts for better
communication in the Digital Media Age. Text classification establishes classification rules …

In recent years, the European Commission and the International Maritime Organization
(IMO) implemented various operational measures and policies to reduce ship fuel …

Short-term load forecasting (STLF) is an essential part of energy plan, and it is very
meaningful for energy management. Recently, some deep learning models have been …

This study is a comprehensive and modern approach to predict customer churn in the
example of an e-commerce retail store operating in Brazil. Our approach consists of three …

Random forest (RF) is one of the most popular machine learning (ML) models used for both
classification and regression problems. As an ensemble model, it demonstrates high …

Background Previous research has revealed that nanofluids are capable of improving the
heat transfer performance of energy systems. Researchers devote a considerable deal of …

The quality of samples is crucial in constructing a data-driven landslide susceptibility model.
This article aims to construct a data-driven landslide susceptibility model that takes into …

Abstract Several Artificial Intelligence-based models have been developed for COVID-19
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …