نتایج جستجو برای: gas distribution networks
تعداد نتایج: 1233526 فیلتر نتایج به سال:
In recent years, the static shortest path (SP) problem has been well addressed using intelligent optimization techniques, e.g., artificial neural networks, genetic algorithms (GAs), particle swarm optimization, etc. However, with the advancement in wireless communications, more and more mobile wireless networks appear, e.g., mobile networks [mobile ad hoc networks (MANETs)], wireless sensor net...
Gasoline fuel vehicles cause emissions of airborne pollutants that are poisonous and have a deleterious effect on human health and the environment while natural gas fuels have less harmful effects on the environment and humans due to their greater environmental compatibility. The propose of this study is to investigate the concentration of CO, HC, O2 in the exhaust outlet of gas and diesel cars...
analyzing free riding problem through static games considering homogenous players has been resulted in choosing the free riding strategy as a dominant strategy for the players. in this paper free riding is analyzed through cooperation game imposing non-homogenous players using network models. players would be differentiated by their links with their neighbors in the game. evolutionary game theo...
In this paper we consider the problem of creating a spatial representation of a gas distribution in an environment using a mobile robot equipped with gas sensors. The gas distribution mapping method used models the information content of a given measurement about the average concentration distribution with respect to the point of measurement. In this paper, we present an extension which can con...
In this work, we study network binarization (i.e., binary neural networks, BNNs), which is one of the most promising techniques in compression for convolutional networks (CNNs). Although prior work has introduced many methods that improve accuracy BNNs by minimizing quantization error, there remains a non-negligible performance gap between binarized model and full-precision model. Given feature...
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