Saudi Arabia initiated its much-anticipated Vision 2030 campaign, a long-term economic
roadmap aimed at reducing the country's reliance on oil. The vision, which is anticipated to …

Classification is a critical task in many fields, including signal processing and data analysis.
The accuracy and stability of classification results can be improved by selecting the most …

HVAC (Heating, ventilation, and air conditioning) systems can be used as a basic flexible
load to provide approximately 20% of a building's energy demand and possess the capacity …

This research addresses the critical challenge of disaster waste management, a growing
concern exacerbated by the increasing frequency and intensity of natural disasters like …

In order to perform the close association between ship maneuvering control and energy
consumption through the control strategy, this paper designs an adaptive prediction horizon …

To achieve highly accurate biomedical waste classification at the start of a collection of
biomedical waste, researchers use a deep learning-based processor in this method along …

In light of the rapid development of human society, there has been a notable surge in waste
production, which has resulted in environmental pollution and degradation. This is a …

Bankruptcy prediction and credit risk study are amongstthe most important problems in the
domain of financial and accounting decision making. Evolving an effectual Classification …

Abstract The Emperor Penguin Optimizer algorithm (EPO) is a recent addition to population-
based metaheuristics. However, it has been observed that the algorithm occasionally gets …

Trash classification plays a crucial role in effectively reducing environmental pollution,
maximizing resource recycling, and lowering the cost of trash disposal, with profound …