
ד"ר רינה אזולאי
Dr. Rina Azoulay
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R. Azoulay, K. Danilchenko, Y. Haddad and S. Reches, Transmit Power Control By Deep Neural Network in TDMA-based AD-HOC clusters, IWCMC 2021
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R. Azoulay, E. David, M. Avigal and D. Hutzler, Adaptive Task Selection in Automated Educational Software: A Comparative Study, In Intelligent Systems and Learning Data Analytics in Online Education, Elsevier, 2021.
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R. Azoulay and S. Reches, Flocks Formation Model for Self-Interested UAV, accepted to Intelligent Service Robotics 14 (2), 2021. P.157-174.
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R. Azoulay, E. David, M. Avigal, and D. Hutzler, The impact of learning software on improving reading comprehension skills, International Journal of e-Education, e-Business, e-Management and e-Learning, Number 3 Volume 10 Number 3, 2020.
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R. Azoulay, E. David, M. Avigal, and D. Hutzler, The impact of learning software on improving reading comprehension skills, International Journal of e-Education, e-Business, e-Management and e-Learning, Number 3 Volume 10 Number 3, 2020.
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R. Azoulay and S. Reches, UAV Flocks Forming for Crowded Flight Environments, ICAART 2019.
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M. Allouch, A. Azaria and R. Azoulay, Detecting sentences that may be harmful to children with special needs, ICTAI 2019.
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O. Rozenblit, Y. Haddad, Y. Mirsky, R. Azoulay, Machine Learning Methods for SIR Prediction in Cellular Networks, Physical Communciation, 2018.
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M. Allouch, A. Azaria, R. Azoulay, E. Ben-Izchak, M. Zwilling and D. A. Zachor, Automatic Detecting of Insulting Sentences in Conversation, ICSEE 2018..
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15. Y. Mirsky, Y. Haddad, O. Rozenblit and R. Azoulay, Predicting Wireless Coverage Maps Using Radial Basis Networks, CCNC 2018.