This study explores the use of Quantitative Structure-Activity Relationship (QSAR) studies
using genetic algorithm (GA) and LightGBM to search for acetylcholinesterase (AChE) …

Among various feature selection methods proposed in literature, meta-heuristic algorithms
as a wrapper-based method are widely used in feature subset selection problems. The …

To promote green upgrading, energy conservation, and consumption reduction in the
tobacco manufacturing process, the process relationship between parameters of drying and …

Accurate diagnosis and effective treatment of thyroid conditions, such as hypothyroidism and
hyperthyroidism, are crucial due to their wide-ranging symptoms and consequences …

Many nature-inspired algorithms have been proposed, but only some handle a broad range
of real-world optimization problems. To improve applicability to a more comprehensive …

This paper talks about a type of bacterium called Pseudomonas Aeruginosa (PA) that can
infect vulnerable people and can affect hospitals despite years of research. Its distinctive trait …

People with underactive thyroids frequently endure severe symptoms. Correct classification
and machine learning substantially improve thyroid disease diagnosis. This precise …