Abstract: Prior research has shown that various road marker classification mechanisms in clear or dry weather conditions have high accuracy performance. However, the performance tends to be lower ...

This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

The neighborhood’s unique topography means it also has a more rugged reputation within LA County, says Tok Thompson, a professor of anthropology at the University of Southern California who lives in ...

Abstract: In today’s fast-paced urban environments, maintaining accurate and reliable traffic conditions are crucial. Real-time traffic sign and lane detection have become essential building blocks ...

The course covers essential topics such as erosion, dilation, openings, closings, and convolutions, alongside in-depth filter analysis including median, average, Laplacian, and Nagao filters.