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Patterns of selection are widely believed to differ geographically, causing adaptation to local environmental conditions. However, few studies have investigated patterns of phenotypic selection across large spatial scales. We quantified the intensity of selection on morphology in a monogamous passerine bird, the barn swallow Hirundo rustica, using 6495(More)
In this study, flow estimation models has been developed with artificial neural networks (ANN) method which is one of the artificial intelligence techniques. The various ANN models are developed by using different input combinations consisting of flow data of Söğütlühan (1535), Yamula (1501) and Bulakbaşi (1539) stations(More)
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