Meysam Effati

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The contention of this paper is that many social science research problems are too ‘‘wicked’’ to be suitably studied using conventional statistical and regression-based methods of data analysis. This paper argues that an integrated geospatial approach based on methods of machine learning is well suited to this purpose. Recognizing the intrinsic wickedness(More)
A search and localization algorithm is used to localize a ground based moving target using an Autonomous Air Vehicle (AAV). It is assumed that the target has RF emissions. AAV utilizes Global Search (GS), Approach Target (AT), Locate Target (LT) and Target Reacquisition (TR) modes to search the entire parts of a desired area, approach the detected target,(More)
Innovative data mining and knowledge discovery approaches that take advantage of geospatial analysis can be useful for analysis of motor vehicle crashes on regional highway corridors. This study presents an Ontology-based Classification and Regression Tree (OCART) approach to induct crash rules on regional highway corridors by adding ontological reasoning(More)
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