In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly ...

North Dakota Agriculture Commissioner Doug Goehring has announced a $300,000 grant to fund a new drone-based weed detection project aimed at improving early identification of noxious weeds in soybean ...

In vehicular networks, the detection of malicious traffic presents significant challenges due to the critical nature of automotive systems and the evolving complexity of cyber attacks. This paper ...

Developments in mobile digital X-rays, computer-aided detection (CAD) software and rapid molecular diagnostics have increased uptake of ACF interventions. While significant global health resources are ...

We first benchmark the anomaly detection performance of three major visual frameworks-convolutional neural networks (CNNs), vision transformers (ViTs), and vision-language models (VLMs)-under varying ...

Purpose: To evaluate the diagnostic accuracy of a deep learning autoencoder-based model utilizing regions of interest (ROI) from optical coherence tomography (OCT) texture enface images for detecting ...

The Internet of Things (IoT) has revolutionized various industries but also created substantial security vulnerabilities. Traditional security mechanisms struggle to address the evolving threats, ...