In the domain of artificial neural networks, the learning process represents one of the most
challenging tasks. Since the classification accuracy highly depends on the weights and …

In recent years, imbalanced data classification has emerged as a challenging task. To
address this issue, we propose an adaptive SV-Borderline SMOTE-SVM (Synthetic Minority …

Facial Expression Recognition (FER) has been an interesting area of research in places
where there is human-computer interaction. Human psychology, emotions and behaviors …

Abstract Accurately predicting Polyadenylation (Poly (A)) signals isthe key to understand the
mechanism of translation regulation and mRNA metabolism. However, existing …

Dengue fever has earned the title of a rapidly growing global epidemic since the disease-
causing mosquito has adapted to colder countries, breaking the notion of dengue being a …

Self-report questionnaires play a crucial role in healthcare for assessing disease risks, yet
their extensive length can be burdensome for respondents, potentially compromising data …

Nowadays, learning models have good accuracy and learn complex patterns which are
hidden in the data. Occasionally, patterns which are discovered using these models cannot …

The use of programming online judges (POJs) has risen dramatically in recent years, owing
to the fact that the auto-evaluation of codes during practice motivates students to learn …

The age profiles of many countries are increasing day by day with increasing population of
individuals affected by the chronic diseases such as diabetes, cardiovascular disease …

When individuals experience mild symptoms, seeking medical attention often involves the
inconvenience of scheduling appointments, which can be time-consuming and costly. In the …