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Artificial Neural Networks Application to Support Plant Operation in the Wastewater Industry.

, , , , and . DoCEIS, volume 553 of IFIP Advances in Information and Communication Technology, page 257-265. Springer, (2019)

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Adaptive beaconing for RSU-based intersection assistance systems: Protocols analysis and enhancement., , , , and . Veh. Commun., (2018)LSTM-Based Wastewater Treatment Plants Operation Strategies for Effluent Quality Improvement., , , , and . IEEE Access, (2019)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)Transfer Learning Approach for the Design of Basic Control Loops in Wastewater Treatment Plants., , , and . ETFA, page 1-8. IEEE, (2021)Noisy Signals in Wastewater Treatment Plants data-driven control: Spectral Analysis approach for the design of ANN-IMC controllers., , , and . ICPS, page 320-325. IEEE, (2020)ANN-based Internal Model Control strategy applied in the WWTP industry., , , and . ETFA, page 1477-1480. IEEE, (2019)Transfer Learning Suitability Metric for ANN-based Industrial Controllers., , , and . ETFA, page 1-8. IEEE, (2022)Artificial Neural Networks Application to Support Plant Operation in the Wastewater Industry., , , , and . DoCEIS, volume 553 of IFIP Advances in Information and Communication Technology, page 257-265. Springer, (2019)Industrial Control under Non-Ideal Measurements: Data-Based Signal Processing as an Alternative to Controller Retuning., , , and . Sensors, 21 (4): 1237 (2021)Analysis of adaptive beaconing protocols for intersection assistance systems., , , , and . WONS, page 67-74. IEEE, (2018)