ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.

Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging (DTI) to ...

Abstract: Cyberbullying is a prevalent form of harassment in India. It encompasses various behaviors that degrade human body features and sentiments in every conceivable way. Victims of cyberbullying ...

Who's trying to build superintelligent AI? Companies such as Google, OpenAI, Meta, and Anthropic have collectively dedicated more than $1 trillion to developing artificial general intelligence (AGI).

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

In the era of big data and artificial intelligence, machine learning is one of the hot issues in the field of credit rating. On the basis of combing the literature on credit rating methods at home and ...

Selecting optimal kernels for regression in physical systems remains a challenge, often relying on trial-and-error with standard functions. In this work, we establish ...