Abstract: This paper addresses the detection and classification of mixed-critical events, such as fire incidents, traffic accidents, and violence-related events in urban surveillance systems. It ...
Abstract: Road damage detection is essential for timely pavement maintenance and transportation safety. Traditional approaches, which rely on manual inspection, are both time-consuming and ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...