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Mobility Predictions for IoT Devices Using Gated Recurrent Unit Network.

, , and . IEEE Internet of Things Journal, 7 (1): 505-517 (2020)

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DFOPS: Deep-Learning-Based Fingerprinting Outdoor Positioning Scheme in Hybrid Networks., , , , and . IEEE Internet Things J., 8 (5): 3717-3729 (2021)UAV Positioning for Throughput Maximization Using Deep Learning Approaches., , , and . Sensors, 19 (12): 2775 (2019)An Indoor and Outdoor Positioning Using a Hybrid of Support Vector Machine and Deep Neural Network Algorithms., , , , and . J. Sensors, (2018)Multi-UAVs communication for payload data link enhancement under asynchronous access., , , , and . WOCC, page 1-2. IEEE, (2018)Applying Long Short-Term Memory (LSTM) Mechanisms for Fingerprinting Outdoor Positioning in Hybrid Networks., , , , and . VTC Fall, page 1-5. IEEE, (2019)Machine Learning Based Rapid 3D Channel Modeling for UAV Communication Networks., , , , , and . CCNC, page 1-5. IEEE, (2019)Mobility Predictions for IoT Devices Using Gated Recurrent Unit Network., , and . IEEE Internet of Things Journal, 7 (1): 505-517 (2020)Deep Learning-Based Throughput Estimation for UAV-Assisted Network., , , , , and . VTC Fall, page 1-5. IEEE, (2019)Indoor localization using K-nearest neighbor and artificial neural network back propagation algorithms., , , , , and . WOCC, page 1-2. IEEE, (2018)