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Hybrid deep learning‐based throughput analysis for UAV‐assisted cellular networks.
- Published in:
- IET Communications (Wiley-Blackwell), 2021, v. 14, n. 22, p. 3955, doi. 10.1049/iet-com.2020.0397
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- Article
Hybrid deep learning‐based throughput analysis for UAV‐assisted cellular networks.
- Published in:
- IET Communications (Wiley-Blackwell), 2020, v. 14, n. 22, p. 3955, doi. 10.1049/iet-com.2020.0397
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- Publication type:
- Article
Deep Learning-Based Link Quality Estimation for RIS-Assisted UAV-Enabled Wireless Communications System.
- Published in:
- Sensors (14248220), 2023, v. 23, n. 19, p. 8041, doi. 10.3390/s23198041
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- Article
UAV Positioning for Throughput Maximization Using Deep Learning Approaches.
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- Sensors (14248220), 2019, v. 19, n. 12, p. 2775, doi. 10.3390/s19122775
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- Article
Deep Reinforcement Learning Based Resource Management in UAV-Assisted IoT Networks.
- Published in:
- Applied Sciences (2076-3417), 2021, v. 11, n. 5, p. 2163, doi. 10.3390/app11052163
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- Article
Applying Deep Neural Network (DNN) for Robust Indoor Localization in Multi-Building Environment.
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- Applied Sciences (2076-3417), 2018, v. 8, n. 7, p. 1062, doi. 10.3390/app8071062
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- Article
Optimizing the Deployment of an Aerial Base Station and the Phase-Shift of a Ground Reconfigurable Intelligent Surface for Wireless Communication Systems Using Deep Reinforcement Learning.
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- Information (2078-2489), 2024, v. 15, n. 7, p. 386, doi. 10.3390/info15070386
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- Article
An Indoor and Outdoor Positioning Using a Hybrid of Support Vector Machine and Deep Neural Network Algorithms.
- Published in:
- Journal of Sensors, 2018, p. 1, doi. 10.1155/2018/1253752
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- Article