ERABiLNet: enhanced residual attention with bidirectional long short-term memory.

Autor: Seerangan, Koteeswaran¹, Nandagopal, Malarvizhi², Nair, Resmi R.³, Periyasamy, Sakthivel⁴, Jhaveri, Rutvij H.⁵, Balusamy, Balamurugan⁶, Selvarajan, Shitharth^7,8 ShitharthS@kdu.edu.et

Publikováno v: Scientific Reports. 9/4/2024, Vol. 14 Issue 1, p1-33. 33p.

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A novel energy-efficiency framework for UAV-assisted networks using adaptive deep reinforcement learning.

Autor: Seerangan K; Department of CSE (AI&ML), S.A. Engineering College (Autonomous), Chennai, Tamil Nadu, 600077, India., Nandagopal M; Department of CSE, School of Computing, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, 600062, India., Govindaraju T; Department of Computational Intelligence, SRM Institute of Science and Technology, Chennai, Tamil Nadu, 603203, India., Manogaran N; Department of CSE, S.A. Engineering College (Autonomous), Chennai, Tamil Nadu, 600077, India., Balusamy B; Shiv Nadar (Institution of Eminence Deemed to Be University), Greater Noida, Uttar Pradesh, 201314, India., Selvarajan S; Department of Computer Science, Kebri Dehar University, 250, Kebri Dehar, Ethiopia. ShitharthS@kdu.edu.et.; School of Built Environment, Engineering and Computing, Leeds Beckett University, LS6 3QS, Leeds, UK. ShitharthS@kdu.edu.et.

Publikováno v: Scientific reports [Sci Rep] 2024 Sep 27; Vol. 14 (1), pp. 22188. Date of Electronic Publication: 2024 Sep 27.