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Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments - The Wastewater Treatment Plant Control Case.

, , , and . Sensors, 20 (13): 3743 (2020)

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Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments - The Wastewater Treatment Plant Control Case., , , and . Sensors, 20 (13): 3743 (2020)LSTM-Based Wastewater Treatment Plants Operation Strategies for Effluent Quality Improvement., , , , and . IEEE Access, (2019)Transfer Learning Approach for the Design of Basic Control Loops in Wastewater Treatment Plants., , , and . ETFA, page 1-8. IEEE, (2021)A Throughput Analysis for Opportunistic Beamforming with Quantized Feedback., , , and . PIMRC, page 1-5. IEEE, (2006)Distributed algorithm for uplink scheduling in WiMAX networks., , and . BROADNETS, page 257-264. IEEE, (2008)A Robust Relay Selection Strategy for Cooperative Systems with Outdated CSI., , , and . VTC Spring, IEEE, (2009)Beamforming and bit-loading strategies for multi-user SDMA with admission control., , , and . PIMRC, page 842-846. IEEE, (2005)Joint exploitation of spatial and multi-user diversity via space-time block-coding and antenna selection., and . ICC, page 2911-2915. IEEE, (2005)Trajectory prediction to avoid channel congestion in V2I communications., , , , , , and . PIMRC, page 1-6. IEEE, (2017)Joint routing, channel allocation and power control for real-life wireless sensor networks., , , and . Trans. Emerg. Telecommun. Technol., 26 (5): 945-956 (2015)