Author:Debba, Pravesh; Maina, J; Willemse, EDate:Nov 2010This paper reports on the results from ordinary least squares and ridge regression as statistical methods, and is compared to numerical optimization methods such as the stochastic method for global optimization, simulated annealing, particle ...Read more
Author:Zlobinsky, N; Johnson, DL; Mishra, AK; Lysko, Albert ADate:Feb 2022In this work, we evaluate the application of four different metaheuristic optimisation algorithms for solving the channel assignment problem in a multi-radio multi-channel Wireless Mesh Network (WMN) using Dynamic Spectrum Access (DSA). The ...Read more
Author:Debba, Pravesh; Carranza, EJM; Stein, A; Van der Meer, FDDate:Aug 2008This paper describes a quantitative methodology for deriving optimal exploration target zones based on a probabilistic mineral prospectivity map. The methodology is demonstrated in the Rodalquilar mineral district in Spain. A subset of known ...Read more
Author:Debba, PraveshDate:Oct 2010This chapter discusses the methodology of using simulated annealing in deriving optimal sampling schemes to target a specific mineral, for example, alunite.Read more
Author:Schwegmann, CP; Kleynhans, W; Salmon, BPDate:Apr 2015The detection of ships at sea is a difficult task made more so by uncooperative ships, especially when using transponder based ship detection systems. Synthetic Aperture Radar imagery provides a means of observation independent of the ships ...Read more
Author:Debba, Pravesh; Carranza, EJM; Stein, A; Van der Meer, FDDate:Sep 2008This research describes a quantitative methodology for deriving optimal exploration target zones based on a probabilistic mineral prospectivity map. In order to arrive at out objective, we provide a plausible answer to the following question: ...Read morecb
Author:Debba, Pravesh; Carranza, EJM; Stein, A; Van der Meer, FDDate:Sep 2008This research describes a quantitative methodology for deriving optimal exploration target zones based on a probabilistic mineral prospectivity map. In order to arrive at out objective, we provide a plausible answer to the following question: ...Read more
Author:Debba, Pravesh; Cho, Moses A; Mathieu, Renaud SADate:Aug 2009This paper uses simulated annealing and focus on the spectral angle mapper (SAM), to demonstrate how the separability of two mean spectra from different species can be increased by choosing the bands that maximize the metric. It is known that ...Read more
Author:Debba, PraveshDate:Jul 2012The presentation made to Wits Statistics Department was on common classification methods used in the field of remote sensing, and the use of remote sensing to design optimal sampling schemes for field visits with applications in vegetation ...Read more
Author:Debba, Pravesh; Carranza, EJM; Stein, A; Van der Meer, FDDate:Aug 2009This research discusses a novice method for sampling geochemicals to characterize mine tailings. Researchers model the spatial relationships between a multi-element signature and abundance estimates of secondary iron-bearing minerals in mine ...Read more
Author:Schwegmann, CP; Kleynhans, W; Salmon, BPDate:Jul 2014Synthetic Aperture Radar images are able to detect ships that would be hidden to tradition ship tracking methods due to their transponders being turned off. Using a SAR image as input, the CFAR method can highlight these ships given a correctly ...Read more
Author:Zlobinsky, N; Mishra, AK; Johnson, DL; Lysko, Albert ADate:Nov 2021This work tackles a new angle to the Channel Assignment (CA) problem, which has otherwise been fairly widely studied for allocating channels optimally to access points and ad-hoc network nodes. Wireless Mesh Networks (WMNs) using Dynamic ...Read more
Author:Debba, PraveshDate:Aug 2008At this presentation, the author discussed a statistical method for deriving optimal spatial sampling schemes. First I focus on ground verification of minerals derived from hyperspectral data. Spectral angle mapper (SAM) and spectral feature ...Read more