Search Results - "N. Mozayani"

Multi-agent based simulations using fast multipole method: application to large scale simulations of flocking dynamical systems by Razavi, S. N., Gaud, N., Mozayani, N., Koukam, A.

“…This article introduces a novel approach to increase the performances of multi-agent based simulations. We focus on a particular kind of multi-agent based…”
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A Data-driven Method for Crowd Simulation using a Holonification Model by J. Peymanfard, N. Mozayani

“…In this paper, we present a data-driven method for crowd simulation with holonification model. With this extra module, the accuracy of simulation will increase…”
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Academic Performance and Friendship Relation in Students: Role of Personality by F.S. Almodaressi, N. Mozayani, M.R. Jahed Motlagh, M. Ahmadi

“…There have been many studies about personality role in students’ studies in recent years. However, these studies do not provide a comprehensive model. In…”
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An Improved Fuzzy Neural Network for Solving Uncertainty in Pattern Classification and Identification by M. Hariri, S. B. Shokouhi, N. Mozayani

“…Dealing with uncertainty is one of the most critical problems in complicatedpattern recognition subjects. In this paper, we modify the structure of a useful…”
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A genetic-based input variable selection algorithm using mutual information and wavelet network for time series prediction by Khazaee, P.R., Mozayani, N., Motlagh, M.R.J.

“…In this paper we presented a genetic-based optimal input selection method. This method uses mutual information as similarity measure between variables and…”
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A new multi-objective evolutionary approach for creating ensemble of classifiers by Ahmadian, K., Golestani, A., Mozayani, N., Kabiri, P.

“…In recent years, an increasing amount of research has been focused on feature selection techniques. These techniques rely on an idea that by selecting the most…”
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Secure Safety Messages Broadcasting in Vehicular Network by Barzegar, M., Mozayani, N., Fathy, M.

“…Vehicular communications by means of exchanging safety message considerably reduces life and property damage. So securing this message is essential. In this…”
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Adjusting the parameters of radial basis function networks using Particle Swarm Optimization by Esmaeili, A., Mozayani, N.

“…Particle swarm optimization (PSO), a new promising evolutionary optimization technique, has a wide range of application in optimization problems including…”
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Predicting Opponents Offers in Multi-agent Negotiations Using ARTMAP Neural Network by Beheshti, R., Mozayani, N.

“…Negotiations are one of the most common ways that agents in a multi-agent system use to reach agreements. As negotiations commonly are multi-lateral and…”
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QR Decomposition-Based Algorithm for Background Subtraction by Amintoosi, M., Farbiz, F., Fathy, M., Analoui, M., Mozayani, N.

“…This paper presents a new algorithm for background subtraction that can model the background image from a sequence of images, even if there are foreground…”
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A street lighting control system based on holonic structures and traffic system by Moghadam, M H, Mozayani, N

“…Street lighting system is one of the main sectors of energy consumers in the area of the electrical energy consumption in the country. Since suitable lighting…”
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Emergent holonic organization by stigmergy by Eftekhari, F., Mozayani, N.

“…The goal of this paper is to bring forth a holonic organization for self-organization of holonic multi-agent systems with the support of stigmergy. An…”
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Vehicle Ad-Hoc Networks Clustering by Momeni, S., Fathy, M., Mozayani, N.

“…Routing of data in a vehicular ad hoc network is a challenging task due to the high dynamics of such a network Recently, it was shown for the case of highway…”
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Reinforcement Learning for Soccer Multi-agents System by Farahnakian, F., Mozayani, N.

“…Recently the reinforcement learning method is actively used in multi-agent systems. Because of this method played a significant role by handling the inherent…”
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Evaluating Feature Selection Techniques in Simulated Soccer Multi Agents System by Farahnakian, F., Mozayani, N.

“…Since the quality of data affects the success rate of data mining and learning algorithms, it is always attempted to identify and remove the irrelevant and…”
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Incorporating expert knowledge in Q-learning by means of fuzzy rules by Pourhassan, M., Mozayani, N.

“…Incorporating expert knowledge in reinforcement learning is an important issue, especially when a large state space is concerned. In this paper, we present a…”
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Learning through Decision Tree in Simulated Soccer Environment by Farahnakian, F., Mozayani, N.

“…The robotic soccer is one of the most complex multiagent systems in which agents play the role of soccer players. The characteristics of such systems are:…”
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Regional Varying Image Super-Resolution by Amintoosi, M., Fathy, M., Mozayani, N.

“…In this paper a new method for single image super-resolution using some high resolution images is proposed. It is assumed that each high resolution image shows…”
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Real time prediction of time delays in a networked control system by Rahmani, B., Markazi, A.H.D., mozayani, N.

“…In this paper, a novel method for real time prediction of network transmission time delays is introduced. The proposed delay prediction method is based on the…”
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A new similarity difference measure in multi agent systems by Abdoos, M., Mozayani, N., Akbari, A.

“…In this paper, we present a new measure for evaluating similarity changes in a multiagent system. The similarity measure of the agents changes during the…”
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