In recent years, medical data analysis has become paramount in delivering accurate
diagnoses for various diseases. The plethora of medical data sources, encompassing …

In many fields, complicated issues can now be solved with the help of Artificial Intelligence
(AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms …

Today's electrical power system is a complicated network that is expanding rapidly. The
power transmission lines are more heavily loaded than ever before, which causes a host of …

Accurate and rapid disease detection is necessary to manage health problems early. Rapid
increases in data amount and dimensionality caused challenges in many disciplines, with …

The identification of tumors through gene analysis in microarray data is a pivotal area of
research in artificial intelligence and bioinformatics. This task is challenging due to the large …

Chronic kidney Disease (CKD), also known as chronic renal disease, is an illness that
affects the majority of adults and is defined by a progressive decrease in kidney function …

Bladder cancer (BC) diagnosis presents a critical challenge in biomedical research,
necessitating accurate tumor classification from diverse datasets for effective treatment …

This paper provides a novel, unique, and improved optimization algorithm called the
modified Orca Predation Algorithm (mOPA). The mOPA is based on the original Orca …

Sand cat swarm optimization algorithm (SCSO) keeps a potent and straightforward meta-
heuristic algorithm derived from the distant sense of hearing of sand cats, which shows …

This paper proposes a modified version of the weighted mean of vectors algorithm (mINFO),
which combines the strengths of the INFO algorithm with the Enhanced Solution Quality …