AIMC Topic: Texas

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Children on wheels: Identifying crash determinants using cluster correspondence analysis.

Accident; analysis and prevention Apr 10, 2025
Child bicyclists (14 years old and younger) are among the most vulnerable road users, facing significant risks of crashes that often result in severe injuries or fatalities. This study aims to identify key factors influencing child bicyclist crashes ...
Male Adolescent Child, Preschool Machine Learning Female Risk Factors Cluster Analysis Accidents, Traffic Bicycling Texas Child Rural Population Environment Design Humans
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Assessing Huanglongbing Severity and Canopy Parameters of the Huanglongbing-Affected Citrus in Texas Using Unmanned Aerial System-Based Remote Sensing and Machine Learning.

Sensors (Basel, Switzerland) Nov 29, 2024
Huanglongbing (HLB), also known as citrus greening disease, is a devastating disease of citrus. However, there is no known cure so far. Recently, under Section 24(c) of the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA), a special local ...
Machine Learning Remote Sensing Technology Plant Diseases Unmanned Aerial Devices Citrus Texas
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Unmasking the sky: high-resolution PM prediction in Texas using machine learning techniques.

Journal of exposure science & environmental epidemiology Apr 1, 2024
BACKGROUND: Although PM (fine particulate matter with an aerodynamic diameter less than 2.5 µm) is an air pollutant of great concern in Texas, limited regulatory monitors pose a significant challenge for decision-making and environmental studies.
Machine Learning Environmental Monitoring Particle Size Air Pollutants Humans Aerosols Air Pollution Texas Particulate Matter Satellite Imagery Weather
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Reconstruction of missing spring discharge by using deep learning models with ensemble empirical mode decomposition of precipitation.

Environmental science and pollution research international Jun 25, 2022
A continuous and complete spring discharge record is critical in understanding the hydrodynamic behavior of karst aquifers and the variability of freshwater resources. However, due to equipment errors, failure of observation and other reasons, missin...
Neural Networks, Computer Algorithms Deep Learning Texas Hydrology
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Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles.

Accident; analysis and prevention Feb 5, 2021
The introduction of Automated Vehicles (AVs) into the transportation network is expected to improve system performance, but the impacts of AVs in mixed traffic streams have not been clearly studied. As AV's market penetration increases, the interacti...
Automobile Driving Acceleration Texas Humans Accidents, Traffic Safety Time Factors Robotics
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Crash narrative classification: Identifying agricultural crashes using machine learning with curated keywords.

Traffic injury prevention Nov 18, 2020
OBJECTIVE: Traditionally, structured or coded data fields from a crash report are the basis for identifying crashes involving different types of vehicles, such as farm equipment. However, using only the structured data can lead to misclassification o...
Texas Louisiana Support Vector Machine Bayes Theorem Accidents, Traffic Humans Algorithms Machine Learning Forecasting Agriculture
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Population demographics in geographic proximity to hospitals with robotic platforms do not correlate with disparities in access to robotic surgery.

Surgical endoscopy Sep 21, 2020
BACKGROUND: Disparities in access to robotic surgery have been shown on the local, regional, and national level. This study aims to see if the location of hospitals with robotic platforms (HWR) correlates with population trends to explain the dispari...
United States Robotics Robotic Surgical Procedures Humans Demography Hospitals Texas
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Using machine learning to examine the relationship between asthma and absenteeism.

Environmental monitoring and assessment Jun 28, 2019
In this study, we found that machine learning was able to effectively estimate student learning outcomes geo-spatially across all the campuses in a large, urban, independent school district. The machine learning showed that key factors in estimating ...
Academic Success Machine Learning Absenteeism Humans Students Schools Asthma Female Adolescent Texas Male Child Environmental Health
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Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA.

Epidemics Jun 8, 2019
Influenza is one of the main causes of death, not only in the USA but worldwide. Its significant economic and public health impacts necessitate development of accurate and efficient algorithms for forecasting of any upcoming influenza outbreaks. Most...
Humans Disease Outbreaks Deep Learning Forecasting Public Health Texas Models, Statistical Bayes Theorem Influenza, Human
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Machine learning approaches for predicting high cost high need patient expenditures in health care.

Biomedical engineering online Nov 20, 2018
BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state Medicaid program. Predictive machine learning models were used to forecast the expenditures, especially for the high-cost, high-need (HCHN) patients.
Health Care Costs Health Services Research Texas Health Expenditures Data Collection Economics, Medical Adult Medicaid Male Female Humans Multimorbidity Adolescent Middle Aged Aged Machine Learning United States Young Adult Algorithms Chronic Disease
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