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Secure AF Relaying in Power-Constrained UAV Networks., , , , and . VTC Spring, page 1-7. IEEE, (2021)Securing OFDM-Based NOMA SWIPT Systems., and . IEEE Trans. Veh. Technol., 69 (10): 12343-12347 (2020)RBF-NN-based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW)., , , and . Neural Comput. Appl., 29 (3): 889-899 (2018)Artificial-Noise-Aided Energy-Efficient Secure Beamforming for Multi-Eavesdroppers in Cognitive Radio Networks., , , , , and . IEEE Syst. J., 14 (3): 3801-3812 (2020)Sensitivity analysis of artificial neural networks for just-suspension speed prediction in solid-liquid mixing systems: Performance comparison of MLPNN and RBFNN., , and . Adv. Eng. Informatics, (2019)Optimal Spectrum Access for a Rechargeable Cognitive Radio User Based on Energy Buffer State., , , and . CoRR, (2014)On Spectrum Sharing Between Energy Harvesting Cognitive Radio Users and Primary Users., , , and . CoRR, (2014)Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios., , , , and . Appl. Intell., 53 (9): 10893-10916 (May 2023)Advanced water level prediction for a large-scale river-lake system using hybrid soft computing approach: a case study in Dongting Lake, China., , , , , and . Earth Sci. Informatics, 14 (4): 1987-2001 (2021)Groundwater level as an input to monthly predicting of water level using various machine learning algorithms., , , , and . Earth Sci. Informatics, 14 (3): 1269-1283 (2021)