Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...

This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...

Smart ring maker Ultrahuman is launching a major new feature focused on respiratory health, partnering with sleep tracking giant Sleep Cycle to detect snoring and coughing via the Ultrahuman Ring Air.

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Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

Abstract: In directed graphs, the relationship between users is asymmetric, resulting in two types of triangles: cycle triangles and flow triangles. This paper studies the problem of ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

Using drone imagery, New Zealand researchers are evaluating a deep learning model called BirdDetector, as it analyzes Salvin’s albatross populations across the Bounty Islands. After testing the model ...

The current altcoin bear market has lasted over 1,200 days, surpassing all previous cycles in duration and severity. Despite Bitcoin hitting new highs, altcoins remain suppressed, with total market ...