Long-term prediction of precipitation in planning and managing water resources, especially in arid and semi-arid countries such as Iran, has a great importance. In this paper, a method for predicting long-term precipitation using weather signals and artificial neural networks is presented. For this purpose, climatic data (large-scale signals) and meteorological data (local precipitation and tem...

among pome fruit trees, quince is the most susceptible tree to fire blight. following selection of several promising quince cultivars, this research aimed at optimization of in vitro propagation protocol of the selected materials. therefore, several experiments were carried out for determination of the best culture medium and plant growth regulators for establishment, proliferation and root ind...

Problem statement: Text documents are the unstructured databases that contain raw data collection. The clustering techniques are used group up the text documents with reference to its similarity. Approach: The feature selection techniques were used to improve the efficiency and accuracy of clustering process. The feature selection was done by eliminate the redundant and irrelevant items from th...

Genetic drift is of considerable importance in most artificial selection experiments, which tend to have very small effective population sizes. We have previously considered the short-term implications of drift in generating variance around the expected response (Chapter 6), which occurs even in the absence of major changes in allele frequencies. This chapter examines the implications for long-...