Occupational accidents are frequent in the construction industry, containing significant risks
in the working environment. Therefore, early designation, taking preventive actions, and …

Current national occupational safety and health (OSH) initiatives follow reactive approaches,
ie, if it breaks, fix it. Existing accounts, however, failed to improve national OSH …

Despite the impressive predictive performance exhibited by deep learning across various
domains, its application in research models within the social and behavioral sciences has …

Abstract Background Acute Myocardial Infarction (AMI) is the leading cause of death in
Portugal and globally. The present investigation created a model based on machine …

This study was undertaken to propose a comprehensive prediction scheme containing the
hybrid use of class imbalance handling strategies and machine learning methods to assess …

Depression is a prevalent disorder worldwide, with potentially severe implications. It
contributes significantly to an increased risk of diseases associated with multiple risk factors …

A public–private partnership (PPP) is a common procurement model implemented
worldwide as a catalyst for economic growth and improved public infrastructure. However …

Although black-box models can accurately predict outcomes such as weather patterns, they
often lack transparency, making it challenging to extract meaningful insights (such as which …

Biomedical image segmentation (BIS) task is challenging due to the variations in organ
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …

Background Parkinson's Disease is the second most common neurological disease in over
60s. Cognitive impairment is a major clinical symptom, with risk of severe dysfunction up to …