#real-time-analysis2 articles

2 articles

AINeutralarXiv – CS AI · 6d ago6/104

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Near--Real-Time Conflict-Related Fire Detection in Sudan Using Unsupervised Deep Learning

Researchers developed a lightweight AI model using unsupervised deep learning to detect conflict-related fires in Sudan within 24-30 hours using commercially available satellite imagery. The Variational Auto-Encoder (VAE) approach outperformed traditional methods in identifying burn signatures from 4-band Planet Labs satellite data at 3-meter resolution.

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AINeutralarXiv – CS AI · Feb 274/105

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TokEye: Fast Signal Extraction for Fluctuating Time Series via Offline Self-Supervised Learning From Fusion Diagnostics to Bioacoustics

Researchers developed TokEye, a self-supervised AI framework that can extract coherent signals from noisy time-series data in 0.5 seconds, initially designed for fusion reactor diagnostics. The system demonstrates applications beyond fusion research, including bioacoustics, suggesting broader potential for real-time signal processing across industries.