Azam Ramazani

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Vehicular traffic estimation is one of the major issues in intelligent transportation systems. Traffic information can be used by navigation systems to improve travel efficiency. Current traffic estimation systems rely on infrastructure deployment to monitor traffic state. Therefore, they are costly to implement. In this paper, we propose a new(More)
The classification problem is posed as one of the most important issues in pattern recognition and its great applications in sciences and engineering has attended researches. In this paper, a classifier based on new algorithm of Inclined Planes system Optimization (IPO) is proposed. The proposed classifier estimates the decision hyperplanes for separating(More)
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