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Filtering by: Advisor Willy, Christopher Committee Member Malalla, Ebrahim Committee Member Etemadi, Amirhossein Degree D.Engr.

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Machine Learning and Cellular Automata: Applications in Modeling Dynamic Change in Urban Environments

Description:

There have been several studies advocating the need for, and the feasibility of, using advanced techniques to support decision makers in urban planning and resource monitoring. One such advanced technique includes a framework that leverages remote sensing and geospatial information systems (GIS)...

Author:

Curtis, Brian

Keyword:

Remote Sensing, Geospatial Information Systems, Machine Learning, and Cellular Automata

GW Unit:

Systems Engineering

Degree:

D.Engr.

Advisor:

Willy, Christopher and Etemadi, Amirhossein

Committee Member(s):

Torres, Edwin, Malalla, Ebrahim, and Etemadi, Amirhossein

Resource Type:

Thesis or Dissertation