IEEE

Analyzing the Impact of Screen Time on Child and Adolescent Behavior and Academic Performance using Machine Learning Models

Abstract: Excessive screen time has become a global concern with potential implications on the behavioral and academic outcomes of youth. In this study, we analyze a dataset of children aged 5–15 to ...
IEEE

A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence

Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...