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Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
Network of unmanned vehicles, are poised to be the next giant leap of technology. Such systems are already being used by the defense and law enforcement agencies. The US DoD and some very large private corporations are spending large...
Vector-borne diseases account for more than 17% of infectious diseases, causing more than 1 million deaths annually from malaria, dengue fever, yellow fever, etc. Diseases once thought to be controlled, have experienced a resurgence. For...
In this dissertation, I explore different types of applications in the area of applied machine learning, time series analysis, and prediction. Time series forecasting is a fundamental task in machine learning and data mining. It is an...
The most common approaches to analyzing algorithms are worst-case analysis, average-case analysis, and experimental analysis. In most cases, until recently, experimental analysis has not been given priority. The theoretical computer...
There are a wide variety of clustering and optimization algorithms which work in vector spaces, but relatively fewer that work on graphs. An algorithm to embed road network metrics into vector spaces is presented in this document, which...
As the push for autonomous systems gains momentum, there has been a shift from automated to semi-autonomous systems, and current and future applications of artificial intelligence will revolve around the development of autonomous systems...
Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
