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Now showing items 21-30 of 33
Deep Learning for Weak Target Detection in Range-Doppler Data
(2022-05)
A consistent issue for detectors in radar systems is how to correctly distinguish target signals from random noise. This is especially true for weak targets with low signal-to-noise ratios (SNRs). Traditional target detection ...
Forecasting landslide events in eastern Oklahoma and western Arkansas using empirical methods and statistical machine learning methods
(2022-12)
Understanding the trend of landslide occurrence in eastern Oklahoma and western Arkansas is crucial to the human and social development of the region. Studies suggest rainfall is one of the major landslide triggering ...
Low-Cost Video-Oculography System for Eye Tracking
(2023-05-12)
The vestibular system plays a critical role in balancing and the vestibulo-ocular reflex (VOR), which aids in maintaining visual stability during head movements. Current methods of vestibular research rely on scleral coils ...
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. ...
Seismic attribute optimization with unsupervised machine learning techniques for deepwater seismic facies interpretation: users vs machines
(2020-07)
Machine learning (ML) has many applications within the geosciences, from predicting seismic facies, to automatic fault detection. A variety of machine learning algorithms are commonly employed, among these principal component ...
Predicting wine quality and/or taste through the use of a latent ODE-RNN Neural Net
(2019-12-13)
It is common for recommendation systems to use clustering techniques for finding similar products for the downstream user. These models do not always incorporate time as a variable when recommending an item. If our ...
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, ...
Imbalanced Learning with Parametric Linear Programming Support Vector Machine For Weather Data Application
(2019-05-10)
Learning from imbalanced data sets is one of the aspects of predictive modeling and machine learning that has taken a lot of attention in the last decade. Multiple research projects have been carried out to adjust the ...
Secure Decentralized Decisions in Consolidated Hospital Systems: Intelligent Agents and Blockchain
(2018)
Shared decision making has become a very important solution in order to build a consolidated healthcare system. While there is some research in the healthcare literature discussing the advantages and disadvantages of the ...
Analysis of the relationships between eye tracking information and text comprehension levels in healthcare
(2017-12)
Health information can be found more easily than ever through a variety of digital texts: from health forums online, informative websites, or phone apps that monitor your health. It is important that the patients are able ...