today, with the advanced statistical techniques and neural networks, predictive models of distribution have been rapidly developed in ecology. purpose of this research is to predict and map the distribution of tetranychus urticae koch (acari: tetranychidae) using mlp neural networks combined with genetic algorithm in surface of farm. population data of pest was obtained in 2016 by sampling in 1...

many appealing multicast services such as on-demand tv, teleconference, online games and etc. can benefit from high available bandwidth in multi-radio multi-channel wireless mesh networks. when multiple simultaneous transmissions use a similar channel to transmit data packets, network performance degrades to a large extant. designing a good multicast tree to route data packets could enhance the...

classification of vegetation according to their species composition is one of the most important tasks in the application of remote sensing in precision agriculture. to prepare an algorithm for such a mandate, there is a need for ground truth. field operation is very costly and time consuming. therefore, some other method must be developed, such as extracting information from the satellite imag...

The wireless communication with delivering variety of services to users is growing rapidly in recent years. The third generation of cellular networks (3G), and local wireless networks (WLAN) are the two widely used technologies in wireless networks. 3G networks have the capability of covering a vast area; while, WLAN networks provide higher transmission rates with less coverage. Since the two n...

we livein the era that  are seeing the growing use of social networks among family members especially youth. this study was conducted to investigate relationship between family function and use of social networks among high school students.the type of this study was correlational and conducted in 2015-16. the study population included all high school students in the second period of qazvin. 175...

this paper presents the application of three main artificial neural networks (anns) in damage detection of steel bridges. this method has the ability to indicate damage in structural elements due to a localized change of stiffness called damage zone. the changes in structural response is used to identify the states of structural damage. to circumvent the difficulty arising from the non-linear n...

multi-path is favorite alternative for sensor networks, as it provides an easy mechanism to distributetraffic, as well as considerate fault tolerance. in this paper, a new clustering based multi path routingprotocol namely ecrr (energy efficient cluster based routing algorithm for improving reliability) isproposed, which is a new routing algorithm and guarantees the achievement to required qos ...