This paper applies the boosting classifier proposed by Viola and Jones to the detection of impact craters on the surface of Mars. The performance of the boosting algorithm is comparable to the best algorithms described in the literature.

Emissions from motor vehicles need to be predicted fairly accurately to ensure an appropriate air quality management plan. This research work explores the use of a nonparametric regression algorithm known as the multivariate adaptive regression splines (MARS) in comparison with the artificial neural networks (ANN) for the purpose of best approximation of the relationship between the input and o...

Introduction: There is more image data available to planetary scientists now than at any time in history. The problem now is how to best make use of it. It is impractical to analyze such large datasets manually, while development of handwritten feature extraction tools is expensive and laborious. This project explores the use of machine learning techniques to develop feature extraction algorith...

Mars probes send back to Earth enormous amount of data. Automating the analysis of this data and its interpretation represents a challenging test of significant benefit to the domain of planetary science. In this study, we propose combining terrain segmentation and classification to interpret Martian topography data and to identify constituent landforms of the Martian landscape. Our approach us...

In this paper, a parallelized version of multivariate adaptive regression splines (MARS, Friedman 1991) is developed and utilized within a decision-making framework (DMF) based on an OA/MARS continuous-state stochastic dynamic programming (SDP) method (Chen et al. 1999). The DMF is used to evaluate current and emerging technologies for the multi-level liquid line of a wastewater treatment syste...

Locating deployed sensor nodes in wireless networks is a crucial issue for general environmental monitoring applications. Most current positioning technologies use stationary anchors to compute the positions of nodes. However, placing static area not trivial job, especially hazardous environments. Applying mobile anchor good solution. This paper proposes an iterative (ISP) algorithm that uses n...

Multivariate Adaptive Regression Spline (MARS) is a simple and powerful non-parametric machine learning algorithm that automatizes the selection of non-linear terms in regression models. In this study, we propose using MARS spatial framework to account for potential non-linearities effects Using relatively large data set 17,000 dwellings St. Petersburg (Russia), examine how works. The empirical...

Much prior work in mobile robot path planning har been based on assumptions that are not really applicable for exploration of planetary terrains. Based on the first author’s experience with the recent Mars Pathfinder mission, this paper reviews the issues that are critical for successful autonomous navigation of planetary rovers. No currently proposed methodology accurately addresses ali of the...

In this thesis I created an Earth-image simulation and investigated Earth-tracking algorithms for the Mars Laser Communication Demonstration (MLCD). The MLCD mission will demonstrate the feasibility of high-data-rate laser communications between a Mars orbiting satellite and an Earth ground station. One of the key challenges of the mission is the requirement to achieve 0.35-rad-accuracy pointin...

citrus fruits contain numerous nutrients and secondary metabolites including sugars, vitamin c, flavonoids and phenols which have high antioxidant activity and nutritional value. factors such as cultivar, type of stock and fruit position affect the amount of these compounds. hence in this study the amount of sucrose, glucose, total sugar, vitamin c, flavonoids and phenols in pulp, mesocarp and ...