Introduction: Hypothyroidism is one of the frequent side effects of radiotherapy of head and neck cancers, breast cancer, and Hodgkin's lymphoma. It is recommended to estimate the normal tissue complication probability of thyroid gland using radiobiological modeling during treatment planning. Moreover, the use of artificial neural network is also proposed as a new method for t...

hydrograph modeling and prediction of groundwater levels are the main concerns of most hydrogeological calculations and water resource management process. the present study is an application of sequential gaussian simulation (sgsim) method for predicting groundwater levels using recorded monthly data (180 months) related to 21 piezometers of behbahan aquifer, southwest of iran. to generate real...

this study employs a gmdh neural network model, which has high capability in recognition of complicated non-linear trends especially with small samples, for modeling and predicting iranian gdp growth. first a fundamental model containing 7 independent variables together with dependent variable is designed and then by using deductive process and omission of one variable at a time, a total of 18 ...

Recently, we took part in a project with two local companies about the creation of a UML-based Model Driven rigorous method to develop VECM-based systems. VECM is a way to abstract from the details of different Enterprise Content Management (ECM) systems used within the same organization. This report details the experience made using our method to develop V-Protocol: a system able to protocol, ...

comparison of linear and nonlinear (bilinear) time series models in reference crop evapotranspiration prediction in urmia synoptic stationreference crop evapotranspiration (eto) prediction is one of the important elements in optimizing agricultural water consumption. in this regard, one of the prediction approaches is to use the stochastic time series methods. in this research, ar (p) and arma(...

We compare four different approaches towards modeling frame-level errors in GSM channels. One of these, the Markov-based Trace Analysis model (MTA), was developed for the purpose of modeling a GSM channel. The next two, -th-order Markov models and hidden Markov models (HMMs) have been widely used to model loss in wired networks. All three of these have difficulty modeling empirical GSM framelev...

investigation on local scour phenomenon downstream of impinging jets is very complicated. different parameters such as geometry of stream, characteristics of flow and sediments have great influences on the scour phenomenon. the present study is preceded to numerical modeling of scouring by impinging jet via ssiim 2 model founded on a physical model tests. the numerical model is calibrated for r...

Modern control systems widely use network to decrease the implementation cost and also increase the performance. Although they have several advantages, they suffer from some limitations and deficiencies. Packet loss is one of the main limitations which affect the control system in different conditions and finally can lead to system instability. To prevent such problems it is important to model ...