Optimizing Dynamic Multi-Agent Performance in E-Learning Environment

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Al-Tarabily, Mariam M., et al. “Optimizing Dynamic Multi-Agent Performance in E-Learning Environment”. IEEE Access, vol. 6, 2018, pp. 35631-45, https://doi.org/10.1109/access.2018.2847334.
Al-Tarabily, M. M., Abdel-Kader, R. F., Abdel Azeem, G., & Marie, M. I. (2018). Optimizing Dynamic Multi-Agent Performance in E-Learning Environment. IEEE Access, 6, 35631-35645. https://doi.org/10.1109/access.2018.2847334
Al-Tarabily MM, Abdel-Kader RF, Abdel Azeem G, Marie MI. Optimizing Dynamic Multi-Agent Performance in E-Learning Environment. IEEE Access. 2018;6:35631-45.
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Refrences
Title Journal Journal Categories Citations Publication Date
A hybrid PSO with Naïve Bayes classifier for disengagement detection in online learning 2016
A survey of artificial intelligence techniques employed for adaptive. Educational systems within e-learning platforms 2016
Exponential particle swarm optimization approach for improving data clustering 2009
Discrete PSO with GA operators for document clustering 2009
Web text feature extraction with particle swarm optimization 2007