Search
Now showing items 41-50 of 59
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 ...
Developing Novel Computer Aided Diagnosis Schemes for Improved Classification of Mammography Detected Masses
(2023-12-15)
Mammography imaging is a population-based breast cancer screening tool that has greatly aided in the decrease in breast cancer mortality over time. Although mammography is the most frequently employed breast imaging modality, ...
Statistical and deep learning methods for geoscience problems
(2021-12-15)
Machine learning is the new frontier for technology development in geosciences and has developed extremely fast in the past decade. With the increased compute power provided by distributed computing and Graphics Processing ...
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 ...
The Context-Aware Learning Model
(2017-12)
The ultimate goal of this research is to build a novel, generalized, arbitrary-depth, neural controller that performs reward- and experience-based neuromodulatory learning, which is online, bootstrapping, interactive, ...
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 ...
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 ...
Seismic Reprocessing of a Granite Wash Survey, Buffalow Wallow Field, Anadarko Basin, Texas
(2017-12-16)
Although considered one of the more productive oil and gas reservoirs in the United States, the Pennsylvanian-age Granite Wash reservoir remain poorly understood. Amongst a myriad of issues that hinder development of ...