introduction one of the most important pre-processing steps in optical coherence tomography (oct) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of oct images. materials and methods the present study focused on speckle noise reduction and edge detection techniques. statistical filters with different masks and noise variances were applied on ...

this study aimed to examine the influence of pre-processing input variables by gamma test on performance of support vector machine in order to predict the suspended sediment amount of doiraj river, located in ilam province from 1994-2004. the flow discharge and rainfall were considered as the input variables and sediment discharge as the output model. also, the duration of the model training pe...

Today, a great deal of data is generated in the medical field. Acquiring useful knowledge from this raw data requires data processing and detection of meaningful patterns and this objective can be achieved through data mining. Using data mining to diagnose and prognose heart diseases has become one of the areas of interest for researchers in recent years. In this study, the literature on the ap...

Rapid expansions of new location-based services signify the need for finding accurate localization techniques for indoor environments. Among different techniques, RSS-based  schemes and in particular oneof its variants which is based on Graph-based Semi-Supervised Learning (G-SSL) are widely-used approaches The superiority of this scheme is that it has low setup/training cost and at the same ti...

rapid expansions of new location-based services signify the need for finding accurate localization techniques for indoor environments. among different techniques, rss-based  schemes and in particular oneof its variants which is based on graph-based semi-supervised learning (g-ssl) are widely-used approaches the superiority of this scheme is that it has low setup/training cost and at the same ti...