social learning and knowledge generation are two key factors to achieve successful natural resources co-management. social learning can be beneficial by broadcasting and transmitting experiences and problem solving ideas in a group of people. social learning networks can transmit knowledge and experiences from one node to another in the network. social learning can produce a suitable learning a...

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 ...

the monitoring of epileptic seizures is mainly done by means of eeg (electroencephalogram) monitoring. although this method is accurate, it is not comfortable for the patient as the eeg-electrodes have to be attached to the scalp which hampers the patient’s movement. this makes long term home monitoring not feasible. in this paper the aim is to propose a seizure detection system based on accele...

network environments always can be invaded by intruder agents. in networks where nodes are performing some computations, intruder agents might contaminate some nodes. therefore, problem of decontaminating a network infected by intruder agents is one of the major problems in these networks. in this paper, we present a distributed asynchronous local algorithm for decontaminating a network. in mos...

content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. the challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. hence, in this paper, an image retrieval system is introduced that provided two kind of qu...

in this paper, a new approach was presented for bus network design which took the effects of three out of four stages of the bus planning process into account. the presented model consisted of three majors steps 1- network design procedure (ndp), 2- frequency determination and assignment procedure (fdap), and 3- network evaluation procedure (nep). genetic algorithm (ga) was utilized to solve th...

the paper deals with data envelopment analysis (dea) and artificial neural network (ann). we believe that solving for the dea efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. in this paper, a new neural network model is used to estimate the inefficiency of dmus in large datasets.