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    ARTICLE

    Optimal Deep Learning Enabled Communication System for Unmanned Aerial Vehicles

    Anwer Mustafa Hilal1,*, Jaber S. Alzahrani2, Dalia H. Elkamchouchi3, Majdy M. Eltahir4, Ahmed S. Almasoud5, Abdelwahed Motwakel1, Abu Sarwar Zamani1, Ishfaq Yaseen1

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 955-969, 2023, DOI:10.32604/csse.2023.030132

    Abstract Recently, unmanned aerial vehicles (UAV) or drones are widely employed for several application areas such as surveillance, disaster management, etc. Since UAVs are limited to energy, efficient coordination between them becomes essential to optimally utilize the resources and effective communication among them and base station (BS). Therefore, clustering can be employed as an effective way of accomplishing smart communication systems among multiple UAVs. In this aspect, this paper presents a group teaching optimization algorithm with deep learning enabled smart communication system (GTOADL-SCS) technique for UAV networks. The proposed GTOADL-SCS model encompasses a two stage process namely clustering and classification. At… More >

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