Abstract: Conventional Convolutional Neural Networks (CNNs) in the real domain have been widely used for audio classification. However, CNNs have limited ability to capture correlations across ...
Species distribution models (SDMs) often overlook critical spatial heterogeneity and multiscale environmental patterns, which limit their predictive accuracy for species occurrences. We demonstrate ...
This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...
The man, a former software developer for Eaton Corporation, wrote malicious code that crashed servers on the company’s network in 2019, prosecutors said. By Hannah Ziegler A former software developer ...
Abstract: In recent years, real-valued neural networks have made significant progress in computer vision tasks such as image classification, object detection, and semantic segmentation. However, ...