This project introduces a <b>risk-conscious perception and decision framework</b> for Advanced Driver Assistance Systems (ADAS). By combining multi-view camera inputs (rear, left, and right) with YOLO object detection, the system replaces traditional fixed confidence thresholds with dynamic real-time optimization. It balances <b>Collision Probability</b> against <b>False Brake Rate</b> via a composite risk index—prioritizing collision avoidance to improve real-world safety trade-offs.
This dataset contains 8,888 real-world images of cooking oils collected to support Artificial Intelligence (AI) and computer vision research in cooking oil quality assessment. The dataset consists of two cooking oil categories: Soyabean Oil and Mustard Oil. Images were collected…
<b>Background</b>: Stroke is the leading cause of long-term disability in the world and there is a compelling need for scalable and effective rehabilitation strategies. Combined with the help of artificial intelligence (AI) based pose estimation technologies, telerehabilitation i…
AntiPatternLoggingMLA toolkit to collect, extract, and analyze logging usage and logging-related code snippets from GitHub repositories — focused on finding logging anti-patterns in machine learning code.The repository provides a CLI (implemented in <code>main.py</code>) with com…
News organisations are experimenting with how to best integrate generative AI into their journalistic workflows. This raises questions about how AI use should be disclosed and how such disclosures affect readers. Prior research shows predominantly negative effects on perceived tr…
This study investigated the effectiveness of Generative AI-Supported Competency-Based Instruction on undergraduate students' technical skills, problem-solving ability, self-regulated learning, and employability skills in Electrical/Electronic Technology Education. The findings re…