Objectives: This study explores different machine learning models (KNN: k-nearest
neighbor, MLP: Multilayer Perceptron, SVM: Support Vector Machine) to identify the optimal …

SMS spam detection is crucial for ensuring text messaging systems' security and usability.
Spam messages, also known as unwanted text messages, can be a nuisance and be used …

The widespread adoption of advanced technologies may be responsible for the extensive
dissemination of forged photographs and videos on the Internet. This could potentially result …

Now a days, students are under a lot of stress due to social issues and schoolwork.
Additionally, they use smart devices excessively, which negatively impacts their mental …

Anxiety, stress, and depression these human emotions cannot be taken lightly. This thing
can cause a lot of problems in a person's life in the future, such as affecting people's …

Recent advancements in technologies could be the reason for fake image and video
generation over the internet. This may be the cause of fake identity creation over the internet …

The objectives of this research were 1) to study the problems of stress and depression
among Grade 12 students; 2) to investigate the machine learning technique in analyzing …

This research presents a machine-learning frame-work for predicting depression severity by
leveraging Multiple-Choice Questions (MCQs) and transcribed audio data. Two distinct data …

In today's fast-paced society, stress is a prevalent issue that can have detrimental effects on
one's health. This study aims to investigate machine learning-based techniques for detecting …

In today fast-paced society, psychological health issues such as anxiety, depression, and
stress have become increasingly prevalent across diverse populations. This paper explores …