Research
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.

168,742 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Feb 202019922001200920172026
5 results for “airflow”
Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regressionstat.ML

The study recovers airflow from thoracic and abdominal movements using advanced signal processing.

problem Challenges in measuring airflow from thoracic and abdominal movements using small, inexpensive devices.
method Synchrosqueezing transform and locally stationary Gaussian process regression.
result Accurate prediction of airflow achieved in both normal sleep and anesthesia transition cases.
synchrosqueezing transformlocally stationary Gaussian processrespiratory signalsambulatory monitoringgeneral anesthesia
2020-08-11abs ↗pdf ↗
Phenotyping OSA: a time series analysis using fuzzy clustering and persistent homologystat.ML

New method phenotypes sleep apnea patients using time series analysis.

problem Traditional diagnosis of sleep apnea is insufficient for capturing its multi-faceted outcomes.
method Fuzzy clustering in time and frequency domains, and persistent homology for topological analysis.
result Phenotyping patients improves understanding of sleep apnea.
sleep apneaphenotypingtime series analysisfuzzy clusteringpersistent homology
2021-04-27abs ↗pdf ↗
Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Laterstat.ML

GABI learns geometry from diverse systems to improve Bayesian inference.

problem Bayesian inversion of physical systems with varying geometries.
method Geometric Autoencoders for Bayesian Inversion (GABI) learns geometry-aware priors from large datasets.
result GABI yields comparable predictive accuracy to deterministic methods and well-calibrated uncertainty quantification.
Bayesian InversionGeometry-Aware PriorsApproximate Bayesian ComputationUncertainty QuantificationAutoencoders
2025-09-24abs ↗pdf ↗
Generative-based Airway and Vessel Morphology Quantification on Chest CT Imageseess.IV

CNNs accurately measure airways and vessels on CT images, improving lung disease diagnosis.

problem Accurately characterizing small pulmonary structures from CT images for disease diagnosis.
method Generative model combined with Convolutional Neural Regressor (CNR) for cross-sectional measurements.
result CNNs provide accurate measurements with physiological correlates.
CNNsCT imagesairwaysvesselslung disease
2020-02-13abs ↗pdf ↗