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...

background and objectives: while social network analysis has left a remarkable practical impact in the healthcare field, the potential implication of this methodology in the primary health domain is poorly researched. hence, this study aimed to explore the use and usefulness social network analysis in the context of primary health care. methods: the health volunteers of imam ali health center i...

the instrumental use of social networks has become a central tenet of international health policy and advocacy since the millennium project. in asking, ‘how to facilitate social contagion?’, karl blanchet of the london school of hygiene and tropical medicine therefore reflects not only on the recent success, but also hints to growing challenges; the tactics of partnerships, alliances and platfo...

we consider a grid network where nodes contain small buffers. a packet that faces a crowded buffer in its route will get extra latency and may be dropped. in this paper, we propose a novel flow control protocol called rfcc for grid networks. rfcc tries to reroute delayed packets and utilizes network coding to introduce a configurable amount of redundant information in the network, thereby incre...

in this paper, the artificial neural network (ann) approach is applied for forecasting groundwater level fluctuation in aghili plain,southwest iran. an optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (gdm), levenberg marquardt (lm), resilient back propagation (rp), and scaled conjugate gradient (scg). rain,evaporation, relative...

a decrease in natural resources and their non-uniform distribution can affect social relationships between residents ofwatersheds, creating conflict and shifting groupings. the present study used the network analysis method to test thehypothesis that change in hydrologic parameters and water shortages in the village of tutang has led to the new groupingsin the social cooperation network of the ...

in this paper, the artificial neural network (ann) approach is applied for forecasting groundwater level fluctuation in aghili plain,southwest iran. an optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (gdm), levenberg marquardt (lm), resilient back propagation (rp), and scaled conjugate gradient (scg). rain,evaporation, relative...

in mobile ad hoc networks, the absence ofinfrastructure and the consequent absence of authorizationfacilities impede the usual practice of establishing a practicalcriterion to distinguishing nodes as trusted and distrusted.since all nodes in the manets would be used as router inmulti-hop applications, secure routing protocols have vital rulein the security of the network. so evaluating the perf...