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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.

168,742 papers · 148 categories

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5 results for “Louisiana”

Predicting Louisiana Public High School Dropout through Imbalanced Learning Techniquescs.LG

Study predicts high school dropout risk in Louisiana using imbalanced learning techniques.

problem Predicting high school dropout risk in Louisiana.

method Applied imbalanced learning techniques including resampling, case weighting, and cost-sensitive learning.

result Imbalanced learning techniques improve recall but decrease precision.

dropout prediction imbalanced learning high school Louisiana

2019-10-29abs ↗pdf ↗

Applying Association Rules Mining to Investigate Pedestrian Fatal and Injury Crash Patterns Under Different Lighting Conditionsstat.ML

This study uses ARM to analyze pedestrian crashes under different lighting conditions.

problem Identifying crash risk factors under varying lighting conditions.

method Applied Association Rules Mining to Louisiana pedestrian crash data.

result Daylight crashes are associated with children, seniors, and older drivers.

pedestrian crashes lighting conditions association rules mining crash risk factors Louisiana

2022-11-06abs ↗pdf ↗

Advance Real-time Detection of Traffic Incidents in Highways using Vehicle Trajectory Datacs.CY

Study uses vehicle trajectory data to predict traffic incidents on highways.

problem Early detection of traffic incidents to reduce secondary crashes.

method Machine learning algorithms (Logistic Regression, Random Forest, Extreme Gradient Boost, Artificial Neural Network) applied to vehicle trajectory data.

result Random Forest model performs best for incident prediction.

traffic incidents vehicle trajectories machine learning highway safety predictive analytics

2024-08-15abs ↗pdf ↗

Predicting Real-time Crash Risks during Hurricane Evacuation Using Connected Vehicle Datastat.ML

Predict real-time crash risks during hurricane evacuations using connected vehicle data.

problem Mitigate crash risks during hurricane evacuations by predicting high-risk locations.

method Used connected vehicle data to predict crash risks in real-time, considering weather and traffic features.

result Gaussian Process Boosting and Extreme Gradient Boosting models performed best, with recall of 0.91.

Hurricane evacuation Real-time crash prediction Connected vehicle data Machine learning Extreme Gradient Boosting

2023-06-14abs ↗pdf ↗

Identifying roadway departure crash patterns on rural two-lane highways under different lighting conditions: association knowledge using data mining approachcs.LG

This study identifies RwD crash patterns on rural two-lane highways under different lighting conditions.

problem Insufficient investigation of RwD crashes under varying lighting conditions.

method Data mining using association rules mining (ARM) on crash database.

result Interesting crash patterns and risk factors identified under different lighting conditions.

roadway departure rural two-lane highways lighting conditions data mining crash patterns

2023-02-28abs ↗pdf ↗