IEEE

ESAD-GPT: Earth’s Surface Anomaly Detection Using Large Vision-language Models

Abstract: Earth’s surface anomaly detection (ESAD) plays a pivotal role in disaster monitoring, emergency response, and rescue operations. Existing ESAD methods are typically trained on datasets ...
IEEE

SSDCL: Semi-Supervised Denoising-Aware Contrastive Learning for Time Series Anomaly Detection in Cyber-Physical Systems

Abstract: Time series anomaly detection is crucial for improving the security and reliability of Cyber-Physical systems (CPS). While significant progress has been made, existing methods struggle to ...

Improved short-term sea level change predictions achieved with better AI training

Sea level can temporarily change for a variety of reasons—atmospheric pressure shifts and water accumulation from wind and ...
Tech Xplore

Novel framework for unsupervised point cloud anomaly localization developed

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...