In this paper, we propose a method for dimensionality reduction of high-dimensional input data in a binary classification problem. The method is based on selecting a few latent …
Fracture-induced anisotropy is of moderate to large magnitude in sand reservoirs and can be examined in order to further advance our knowledge of fractures in the reservoirs. …
The support vector machine classification method is used for source enumeration; ie, estimating the number of sources contributed in generation of the signals received by the sensors …
macsphere.mcmaster.ca/items/d31dc4b9-5973-47a1-8335-b22bd024a7cbPDFIn this thesis we develop and evaluate automated" expert systems" for two applications:(i) gas/oil pipeline inspection using magnetic flux leakage information,(ii) treatment efficacy …
In this paper, we propose a method for dimensionality reduction of high-dimensional input data in a binary classification problem. The procedure leads directly to an integrated …
In order to rehabilitate the degraded mountainous forests (in particular those located in the vicinity of villages), the appropriate fast-growing tree species can be used. We selected an …
journal.zums.ac.ir/browse.phpPDFBackground & Objectives: Water-related diseases are among the most important public health problems in developing countries and providing the people with safe water is a key factor …
… In conclusion, the work by Khodayari-Rostamabad et al. should be interpreted with caution because of the methodological limitations described earlier. As long as the field connectivity …