In the era of healthcare and its related research fields, the dimensionality problem of high-
dimensional data is a massive challenge as it is crucial to identify significant genes while …

Feature selection, which picks the optimal subset of characteristics related to the target data
by deleting unnecessary data, is one of the most important aspects of the machine learning …

Cancer prediction has always been a major and difficult matter for doctors and researchers.
Early-stage detection of disease can help in the timely diagnosis and prognosis. Several …

Background of the study Breast cancer is the most fatal disease that widely affects women.
When the cancerous lumps grow from the cells of the breast, it causes breast cancer. Self …

Many women around the world die due to breast cancer. If breast cancer is treated in the
early phase, mortality rates may significantly be reduced. Quite a number of approaches …

Extreme learning machine (ELM) has been extensively researched for its fast training speed
and powerful learning abilities. Entering the era of big data, large-scale learning tasks, the …

Data mining methods are important for the diagnosis and prediction of diseases. Early and
accurate diagnosis of patients is vital for their treatment. Various methods have been used in …

In anchor-based object detection algorithms, achieving a balance between positive and
negative samples during training is crucial. Many improved sampling methods have been …

The introduction of algorithms based on machine learning (ML) has revolutionized computer
science by allowing machines to learn without explicit programming. These algorithms …

De nos jours, la technologie s' est améliorée dans le monde entier et est devenue une partie
essentielle de notre vie. Elle aide les médecins à analyser et à diagnostiquer les problèmes …