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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.

168,695 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Sep 202119922001200920172026
2 results for “echo-sounder”
Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD datastat.ML

Tuna-AI uses ML to predict tuna biomass from oceanography and echo-sounder data.

problem Estimating tuna biomass from limited data sources.
method Developed a Machine Learning model using 3-day echo-sounder data and oceanographic data.
result Tuna-AI predicts tuna biomass with high accuracy using a 3-day window of data.
tuna biomassMachine Learningecho-sounderoceanographybuoy
2021-09-14abs ↗pdf ↗
How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patternsstat.ML

Study uses echo-sounder buoys to analyze tuna schools' association with dFADs globally.

problem Understanding temporal trends of tuna schools' association to drifting objects.
method Applied Machine Learning to examine binary and regression outputs of tuna schools' colonization and disaggregation times.
result Median colonization and disaggregation times varied by ocean, with Pacific having longest soak and colonization times.
tuna schoolsdFADsecho-sounder buoysMachine Learningtemporal trends
2022-07-14abs ↗pdf ↗