Feature Selection (FS) is considered a crucial procedure for eliminating unnecessary
features from datasets. FS is considered a challenging problem that is difficult to solve …

Contemporary advancements in technology provide vast quantities of data with large
dimensions, leading to high computing burdens. These big data quantities suffer from …

Feature selection is one of the important steps in data mining to reduce the dimensions of
datasets. Due to the fact that feature selection is inherently a NP-hard problem, no …

The diseases that particularly affect potato leaves are early blight and the late blight, and
they are dangerous as they reduce yield and quality of the potatoes. In this paper, different …

Lung cancer (LC) is a life-threatening and dangerous disease all over the world. However,
earlier diagnoses and treatment can save lives. Earlier diagnoses of malevolent cells in the …

In today's world, especially in public places, strict security measures are being implemented.
Among these measures, the most common is the inspection of the contents of people's …

Heart failure is a leading cause of premature death, especially among individuals with a
sedentary lifestyle. Early and accurate detection is essential to prevent the progression of …

In this paper, a novel hybrid sine-cosine and spotted Hyena-based chimp optimization
algorithm (hybrid SSC) is adopted for the precise tuning of proportional-integral (PI) …

To prevent potential dangers, it is crucial to accurately predict the Remaining Useful Life
(RUL) of Lithium-Ion Batteries (LIBs) as capacity gradually decreases during use. Based on …

With the surge in big data, the complexity of synthesizing information from multiple sources
has become a critical challenge for feature selection methodologies. Feature selection is the …