in this study, several data-driven techniques including system identification, adaptive neuro-fuzzy inference system (anfis), artificial neural network (ann) and wavelet-artificial neural network (wavelet-ann) models were applied to model rainfall-runoff (rr) relationship. for this purpose, the daily stream flow time series of hydrometric station of hajighoshan on gorgan river and the daily rai...

There are many data modelling languages used in today’s information systems engineering environment. Some of the data modelling languages used have a degree of hype surrounding their quality and applicability. We would like to understand exactly what makes some data modelling languages successful and in some way suggest how useful data modelling languages will be in the context of an organisati...

In this paper, we analyze the existing approaches to image data modeling and we propose an image data model and a particular image representation in the proposed model. This model establishes a taxonomy based on the systematization on the existing approaches. The image layouts in the model are described in semantic hierarchies. The representation is applicable to a wide variety of image collect...

The amount of time evolving spatial data that is currently being generated by automatic observation processes is huge. In general, observation data consists of both heterogeneous spatio-temporal data and relevant observation metadata. The former includes data of Spatial Entities (cities, roads, vehicles, etc.) and data of temporal evolution of both properties of Spatial Entities (population of ...

Generally speaking, seismoelectric modeling is a prospecting method based on seismic and electromagnetic waves, in which waves generated by a seismic source at the boundary of the two environments generate a relative fluid-solid motion formed as a result of antagonism between the elastic properties of the environment with the saturated fluid. This research has as its objective, a study of the e...

Applications in which data take nonnegative values but have a substantial proportion of values at zero occur in many disciplines. The modeling of such “clumped-at-zero” or “zero-inflated” data is challenging. We survey models that have been proposed. We consider cases in which the response for the non-zero observations is continuous and in which it is discrete. For the continuous and then the d...

Helicopter-borne frequency-domain electromagnetic (HEM) surveys are used extensively for mineral and groundwater exploration and a number of environmental investigations. To have a meaningful interpretation of the measured multi- frequency HEM data, in addition to the resistivity maps which are provided in each frequency or for some particular depth levels, it is a necessity ...