We present morphologic observations and spectral modeling results of a large, kaolin-group mineral-bearing deposit within Kashira crater in the southern highlands of Mars. We employ both non-linear unmixing of Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) visible to near-infrared (VNIR) reflectance data and linear unmixing of Thermal Emission Spectrometer (TES) thermal infrared (...

This paper presents multiple methods for predicting heavy/mediumduty vehicle fuel consumption based on driving cycle information. A polynomial model, a black box artificial neural net model, a polynomial neural network model, and a multivariate adaptive regression splines (MARS) model were developed and verified using data collected from chassis testing performed on a parcel delivery diesel tru...

In this paper, two different data driven models, genetic programming (GP) and multivariate adoptive regression splines (MARS), have been adopted to create the models for prediction of bridge risk score. Input parameters of bridge risks consists of safe risk rating (SRR), functional risk rating (FRR), sustainability risk rating (SUR), environmental risk rating (ERR) and target output. The total ...

Domain-Specific Modeling (DSM) allows domain experts to concentrate on the essential characteristics of a problem space without being overwhelmed by the complexities that may occur in the solution space. DSM is focused on the creation of a metamodel for a specific domain, from which instances pertaining to specific configurations of that domain can be constructed. However, as the metamodel unde...

Domain-Specific Modeling (DSM) allows domain experts to concentrate on the essential characteristics of a problem space without being overwhelmed by the complexities that may occur in the solution space. DSM is focused on the creation of a metamodel for a specific domain, from which instances pertaining to specific configurations of that domain can be constructed. However, as the metamodel unde...