background in islamic countries alcohol consumption is considered as against religious values. therefore, estimation of frequency of alcohol consumptions using direct methods is prone to different biases. in this study, we indirectly estimated the frequency of alcohol use in iran, in network of a representative sample using network scale up (nsu) method.   methods in a national survey, about 40...

background abortions are of major public health concern in developing countries. in settings in which abortion is highly prohibited, the direct interview is not a reliable method to estimate the abortion rate. the indirect estimation methods to measure the rate of abortion might overcome this dilemma; they are practical methods to estimate the size of the hidden group who do not agree to partic...

network scale-up is an indirect method for estimating the size of hidden, hard-to-count or high risk populations. social network size estimation is the first step in this method. the present study was conducted with the purpose of estimating the social network size of the tehran province residents and its determinants.maximum likelihood estimation was applied to estimate people's network sizes ...

drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...

Single-image haze removal is a challenging ill-posed problem. Recently, methods based on training synthetic data have achieved good dehazing results. However, we note that these can be further improved. A novel deep learning-based method proposed to obtain better-dehazed result for single-image in this paper. Specially, propose dual multi-scale network learn the knowledge from synthetical data....