In recent decades artificial neural networks (ANNs) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. This paper presents the application of artificial neural networks to predict drought in Yazd meteorological station. In this research, different archite...

Introduction: Virtual social networks are increasingly beingused by academics and students in health sciences. It is necessaryto examine opportunities and challenges of these networks basedon the views of faculty and students to describe the existingsituation and planning for proper use. The purpose of this studywas to explore the experiences of students and faculty membersabout opportunities a...

Research is an interconnected global endeavor. Networks of research collaborations are often using Social Analysis. Its variant Spatial allowing explicit embedding spatial information in the network. Variations incorporating results multiple conceptualizations networks, enabling exploration a variety questions regarding collaborations. To elucidate this approach National Geographic Society gran...

in wireless sensor networks, optimal consumptionof energy and having maximum life time are important factors. in this article attempt has been made to send the data packets with particular reliability from the beginning based on aodv protocol. in this way two new fields add to the routing packets and during routing and discovering of new routes, the lowest remained energy of nodes and route tra...

Car-to-car and car-to-infrastructure communication enables a lot of different application scenarios. The most popular way of using WLAN communication between cars might not be good enough for every use case. If as an alternative cellular networks are used, capacity problems arise. This is why so called heterogeneous vehicular networks attract more and more attention. Cars that make use of such ...