On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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5 results for “Copernicus”

From parcel to continental scale -- A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observationsstat.ML

First European crop map created using satellite data.

problem Need for detailed parcel-level crop type mapping for EU.

method Used Sentinel-1 radar observations and LUCAS in-situ data.

result 80.3% overall accuracy for 19 crop types, highest for rape and turnip rape.

crop mapping Sentinel-1 Copernicus random forest land use

2021-05-19abs ↗pdf ↗

Semi-Device Independent Quantum Moneyquant-ph

The seminal idea of quantum money not forgeable due to laws of Quantum Mechanics proposed by Stephen Wiesner, has laid foundations for the Quantum Information Theory in early '70s. Recently, several other schemes for quantum currencies have been proposed, all however relying on the assumption that the mint does not coo…

2018-11-26abs ↗pdf ↗

Mitigating Financial Risk from Climate-Induced Agricultural Price Volatilitystat.AP

Study analyzes climate impact on agricultural prices, offering insurance solutions.

problem Financial risk from climate-induced agricultural price volatility.

method Historical and future climate projections, EGARCH and SARIMAX models, Black-Scholes framework.

result Improved agricultural risk modeling and insurance mechanisms.

agricultural price volatility climate change EGARCH model SARIMAX model Black-Scholes

2025-03-31abs ↗pdf ↗

An uncertainty-aware Bayesian framework for machine learning classification models: A case study in land cover classificationcs.LG

Bayesian framework improves ML classification models' uncertainty estimates.

problem Ensuring trustworthy AI predictions with explicit uncertainty quantification.

method Proposes a Bayesian framework for generative ML classification models that accounts for input measurement uncertainty.

result The BQDA model outperforms other models in terms of interpretability, explicit uncertainty modeling, and computational efficiency.

Bayesian Uncertainty quantification Machine learning Classification Metrology

2025-03-27abs ↗pdf ↗

Enhancing multivariate post-processed visibility predictions utilizing CAMS forecastsstat.AP

Enhanced visibility forecasts using CAMS data improve accuracy.

problem Improving the accuracy of visibility predictions in weather forecasts.

method Statistical post-processing with historical observations and CAMS forecasts.

result Post-processed forecasts with CAMS data are substantially superior to raw and climatological predictions.

weather forecasting visibility predictions CAMS post-processing ensemble forecasts

2024-06-20abs ↗pdf ↗