FEG-Pro estimates finite-horizon forecast-error growth slopes from scalar time series via kNN multi-horizon forecasting as proxies for largest Lyapunov exponents, while extracting additional profile descriptors.
Few-Shot Object Detection on Remote Sensing Images,
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An integrated pipeline uses CNN-based detection with sensor fusion, Bayesian statistics for flyover updates, and reconfigurable satellite scheduling to enhance wildfire monitoring in simulations based on real locations.
citing papers explorer
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FEG-Pro: Forecast-Error Growth Profiling for Finite-Horizon Instability Analysis of Nonlinear Time Series
FEG-Pro estimates finite-horizon forecast-error growth slopes from scalar time series via kNN multi-horizon forecasting as proxies for largest Lyapunov exponents, while extracting additional profile descriptors.
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Automating the Wildfire Detection and Scheduling Pipeline with Maneuverable Earth Observation Satellites
An integrated pipeline uses CNN-based detection with sensor fusion, Bayesian statistics for flyover updates, and reconfigurable satellite scheduling to enhance wildfire monitoring in simulations based on real locations.