This study aimed to classifying wheat genotypes using support vector machines (SVMs)
improved with ensemble algorithms and optimization techniques. Utilizing data from 302 …

The effect of an outlier in classification is a problem in the Fuzzy Support Vector Machine
(FSVM). In this paper, two new methodologies have been implemented to compute fuzzy …

This study evaluates the effect of SMOTE and KNN imputation techniques on the
performance of SVM classification models on a nearly balanced dataset. The results show …

In recent years, electric vehicles have become a prominent and widely-discussed topic on
the global stage. This heightened interest can be attributed to various factors, including the …

Background/Aim: Prostate cancer (PCa) is lethal. Our aim in this retrospective cohort study
was to use machine learning-based methodology to predict PCa risk in patients with benign …

Exhaled breath analysis comprises chemical compounds that can be utilized for diagnostic
purposes, including asthma detection. An electronic nose can be offered as a means of …

Many ethnic minority autonomous regions in China, mainly in mountainous areas, have
caused great harm to people's life and property safety due to frequent geological disasters …

Preserving wildlife habitats is crucial in mitigating climate change. Species like orangutans
and monkeys contribute to fruiting and planting in forests. The World Wide Fund Sabah …

It is possible to detect visual surface defects with software in industrial tile production and
increase productivity by automating the quality control process. In this process, low error rate …

In recent years, cardiovascular diseases have become increasingly important as a leading
cause of death globally. heart failure (HF), a chronic disease affecting some 26 million …