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Browsing Volgenau School of Engineering Graduate Research by Subject "artificial intelligence"

Now showing items 1-5 of 5

Comparative Analysis of Medication Based on Machine Learning Models

Kouser, Nashid; Barekzai, Sara (2021-04-28)

Our society is seeing a sharp rise in the number of people suffering from complicated chronic diseases. Presently, 6 in 10 adults in the United States have a chronic disease. This is the leading cause of death and the ...
Data Analytic approach for Opinion Mining in Important Events

Xu, Ge (2021-04-28)

The best way to predict the future is to study the past. This is one of the basic ideas behind big data analytics. As an example, some presidents utilize a data-driven approach in their campaign for the elected presidency. ...
Machine Learning Models and Transfer Models for Measuring Impact of the Pandemic on Communities

Berdibekov, Timur (2021-04-28)

This paper studies the relationship between the 2019 Novel Coronavirus (COVID-19) pandemic, its public health and economic impact, and rates of economic inclusion and access to banking services throughout the pandemic in ...
Social Media Analytics for Opinion Mining of Important Events

Hapikul, Suchada (2021-04-28)

Statistics of various aspects of each political campaign have been counted on multiple websites. Big data analytics can analyze each candidate's "tags," the slogans and strategies of different candidates, and the ...
Tools for Identifying AI Biases for Machine Learning Models

Adchariyavivit, Patcharaporn; Crow, Austin; Golden, Victoria (2021-04-28)

There is no doubt about the usefulness of machine learning in today’s data environment. Machine learning algorithms are used across many domains and across a variety of problems. These algorithms are seen in e-commerce ...

Browsing Volgenau School of Engineering Graduate Research by Subject "artificial intelligence"

Browsing Volgenau School of Engineering Graduate Research by Subject "artificial intelligence"

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