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Reinforcement Learning for Cognitive Phased Array Radar Surveillance
(2023-05-12)
The proliferation of phased array radar (PAR) has significantly increased the flexibility of radar systems, making it possible to use a single radar to perform a variety of operational modes such as surveillance and tracking ...
RWIS based road condition prediction using machine learning algorithms
(2021-06-26)
The need for a forecasting model of road conditions is becoming evermore critical, given the effects of ever-increasing severity in weather. Drastic changes in weather, especially cold fronts, often lead to dangerous roads. ...
Traffic accident analysis and prediction using the NPMRDS
(2020-12)
Traffic accidents are incidents caused by collisions between road vehicles or a vehicle with road infrastructures or pedestrians. Traffic accidents are a common cause for non-recurring traffic bottlenecks that, in turn, ...
Analysis of dynamics of road weather information system data
(2023-12)
Road and Weather Information System consists of a network of roadside Environmental Sensor Stations (EES) collecting meteorological data. Equipped with a variety of sensors, these stations gather data including ambient ...
Investigating technologies and techniques for flood monitoring and detecting
(2022-08-04)
The need for a flood alerting and forecasting system is becoming ever more critical, especially given the effects of increasing severe weather over the last ten years. Flash floods, particularly, are deadly because of the ...
Respiratory Rate Estimation Using WiFi Channel State Information - A Machine Learning Approach
(2020)
Respiratory rate (RR) is an important vital sign for diagnosing and treating a number of medical conditions. Current respiration monitoring systems require that a special device is continuously attached to the human body. ...
BIG DATA ANALYTICS IN TRANSPORTATION NETWORKS USING THE NPMRDS
(2016-05-06)
Urban traffic congestion is common and the cause for loss of productivity (due to trip delays) and higher risk to passenger safety (due to increased time in the automobile), not to mention an increase in fuel consumption, ...
A Comparison of Machine Learning Gesture Recognition Techniques for Medication Adherence
(2020-04-27)
Every year, many poor health outcomes are the result of patients missing their medication, as prescribed by their healthcare providers. Guidance and reminders to these patients would result in better health outcomes and ...