Abstract: Random Forest is an efficient machine learning classification algorithm known for its high accuracy and interpretability. However, the traditional voting mechanism in the standard Random ...
Abstract: The traditional performance evaluation of metal materials depends on trial and error, which is expensive and time-consuming. Machine learning algorithm, especially deep learning, has brought ...
The final, formatted version of the article will be published soon. Background Millions of people each year suffer from chronic low back pain (cLBP), which adversely affects their physical and mental ...
ABSTRACT: Despite its significant impacts on climate, environment, and public health, air pollution monitoring in Africa is still sparse. This study developed a machine learning framework of four ...
ABSTRACT: With the accelerating pace of urbanization, the issue of air pollution has become increasingly severe. Notably, carbon monoxide (CO), as a prevalent harmful gas, poses potential threats to ...
Introduction: The propagation of neural signals across various brain regions requires us to understand directional connectivity in functional magnetic resonance imaging (fMRI) data. We employ temporal ...
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