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End-to-end autonomous and resilient operability strategy of full-scale PN-SBR system: From influent augmentation to AI-aided optimal control and scheduling
ArticleAbstract: This study developed an artificial intelligence (AI)-driven autonomous resilient operation of partiaPalabras claves:Artificial Intelligence, Autonomous resilient operation, Full-scale PN-SBR, NO /NH ratio 2 4, Optimal aeration strategy, Rank based model calibrationAutores:Kim S.Y., Lim J.Y., Nguyen H.T., Oh T.S., Park S.K.H., Paulina Vilela, Safder U., Woo T.Y., Yoo C.K.Fuentes:scopusIntelligent sensor validation for sustainable influent quality monitoring in wastewater treatment plants using stacked denoising autoencoders
ArticleAbstract: Wastewater treatment plants (WWTPs) influent conditions can dramatically affect a treatment unit's sPalabras claves:Fault Detection, Sensor validation, Smart monitoring, Stacked denoising autoencoder, Wastewater treatmentAutores:Ba-Alawi A.H., Loy-Benitez J., Park S.K.H., Paulina Vilela, Yoo C.K.Fuentes:googlescopusSequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks
ArticleAbstract: Particulate matter with aerodynamic diameter less than 2.5 µm (PM2.5) in indoor public spaces such aPalabras claves:fine particulate matter, Health Risk Assessment, Pbkp_redictive model, Recurrent neural networks, Sequential pbkp_redictionAutores:Li Q., Loy-Benitez J., Paulina Vilela, Yoo C.K.Fuentes:googlescopus