in recent decades, attention to contamination propagation into soils and underground water has increased, which has led to a rise in the studies on soil contamination problems and methods of in-situ remediation. in this research, effective parameters on oil contamination propagation in soils and underground water have been investigated using fem in order to determine propagation patterns. the m...

Two sets of points in -dimensional space are given: a data set consisting of points, and a pattern set or probe consisting of points. We address the problem of determining whether there is a transformation, among a specified group of transformations of the space, carrying into or near (meaning at a small directed Hausdorff distance of) . The groups we consider are translations and rigid motions...

Knowledge Discovery in Databases (KDD), or Data Mining is used to discover interesting or useful patterns and relationships in data, with an emphasis on large volume of observational databases. Among many other types of information (knowledge) that can be discovered in data, patterns that are expressed in terms of features are popular because they can be understood and used directly by people. ...

Clark Graduate School of Geography, Clark University, Worcester, 01610, USA; Département de Géographie, Université de Montréal, Montréal, USA; Department of Natural Resource Sciences and McGill School of Environment, McGill University, Sainte-Anne-de-Bellevue, Canada; Geography and Urban Studies Department, Temple University, Philadelphia, 19122, USA; Department of International Development, Co...

in this paper, i develop three forecasting models: namely structural, times series, and artificial neural networks; to forecast iranian inflation rates. the structural model uses aggregate demand and aggregate supply approach, the time series model is based on the standard arlma technique, and the artificial neural network applies multi-layer back propagation model the latter, which is rooted i...