Energy constraint is the biggest challenge in wireless sensor networks because the power supply of each sensor node is a battery that is not rechargeable or replaceable due to the applications of these networks. One of the successful methods for saving energy in these networks is clustering. It has caused that cluster-based routing algorithms are successful routing algorithm for these networks....

background: prostate cancer is one of the most widespread cancers in men and is fundamentally a genetic disease. identifying regulators in cancer using novel systems biology approaches will potentially lead to new insight into this disease. it was sought to address this by inferring gene regulatory networks (grns). moreover, dynamical analysis of grns can explain how regulators change among dif...

this paper presents the prediction of vehicle's velocity time series using neural networks. for this purpose, driving data is firstly collected in real world traffic conditions in the city of tehran using advance vehicle location devices installed on private cars. a multi-layer perceptron network is then designed for driving time series forecasting. in addition, the results of this study a...

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.

in general, amount of sludge will definitely increase in near future and composting processes, optimum composting conditions and compost use as fertilizer and soil amendment will then be significant research topics. the present study was conducted for o2 parameter estimation by multiple regression and artificial neural networks methods. daily temperature, ch4, h2s, co2 and o2 measurements were ...

this paper aimed to investigate the relationship between components of social capital (security, trust, social norms, social networks and participation in social activities) and physical activity participation among the adolescent students in yazd city. the statistical population of the study included adolescent students (14-17 years old) from yazd city. 382 adolescents were randomly selected t...

simulation of groundwater fluctuations plays a crucial role in management of watersheds and water demand balancing. recently, wavelet analysis has been used widely in time series decomposition and coupling with neural networks for hydrological modeling. in this paper, the ability of the wavelet-dynamic artificial neural networks (w-ann) model was applied in forecasting one-month-ahead of ground...

wireless sensor networks (wsns) have many applications in the areas of commercial, military and environmental requirements. regarding the deployment of low cost sensor nodes with restricted energy resources, these networks face a lot of security challenges. a basic approach for preparing a secure wireless communication in wsns, is to propose an efficient cryptographic key management protocol be...