Intelligent sensor validation for sustainable influent quality monitoring in wastewater treatment plants using stacked denoising autoencoders

Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine

(2020) Hongbin Liu et al.   APPLIED SOFT COMPUTING

A novel effluent quality predicting model based on genetic-deep belief network algorithm for cleaner production in a full-scale paper-making wastewater treatment

(2020) Guoqiang Niu et al.   JOURNAL OF CLEANER PRODUCTION

Asynchronous fault detection filtering for piecewise homogenous Markov jump linear systems via a dual hidden Markov model

(2020) Peng Cheng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Data-driven performance analyses of wastewater treatment plants: A review

(2019) Kathryn B. Newhart et al.   WATER RESEARCH

A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant

(2019) Bei Wang et al.   APPLIED SOFT COMPUTING

Explicit and interpretable nonlinear soft sensor models for influent surveillance at a full-scale wastewater treatment plant

(2019) Xiaodong Wang et al.   JOURNAL OF PROCESS CONTROL

Manifold Regularized Stacked Denoising Autoencoders with Feature Selection

(2019) Jianbo Yu   NEUROCOMPUTING

Ensemble model of wastewater treatment plant based on rich diversity of principal component determining by genetic algorithm for status monitoring

(2019) Zhichao Li et al.   CONTROL ENGINEERING PRACTICE

Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems

(2019) Najmeh Abiri et al.   NEUROCOMPUTING

Decision support systems (DSS) for wastewater treatment plants – A review of the state of the art

(2019) Giorgio Mannina et al.   BIORESOURCE TECHNOLOGY

Global-and-local-structure-based neural network for fault detection

(2019) Haitao Zhao et al.   NEURAL NETWORKS

Deep learning approach for sustainable WWTP operation: A case study on data-driven influent conditions monitoring

(2019) Abdelkader Dairi et al.   Sustainable Cities and Society

Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse

(2019) Lin Zhao et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Process assessment of a full-scale wastewater treatment plant using reliability, resilience, and econo-socio-environmental analyses (R2ESE)

(2019) Abdulrahman H. Ba-Alawi et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation

(2019) Jorge Loy-Benitez et al.   Sustainable Cities and Society

An integrated data-driven framework for surface water quality anomaly detection and early warning

(2019) Jie Liu et al.   JOURNAL OF CLEANER PRODUCTION

Neural component analysis for fault detection

(2018) Haitao Zhao   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Software defect prediction using stacked denoising autoencoders and two-stage ensemble learning

(2018) Haonan Tong et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Automated feature learning for nonlinear process monitoring – An approach using stacked denoising autoencoder and k-nearest neighbor rule

(2018) Zehan Zhang et al.   JOURNAL OF PROCESS CONTROL

Monitoring of wastewater treatment plants using improved univariate statistical technique

(2018) Imen Baklouti et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A systematic approach of removal mechanisms, control and optimization of silver nanoparticle in wastewater treatment plants

(2018) Paulina Vilela et al.   SCIENCE OF THE TOTAL ENVIRONMENT

COVERS-UP: Collaborative Verification of Smart User Profiles for social sustainability of smart cities

(2018) Philip A.K. Lorimer et al.   Sustainable Cities and Society

Stacked autoencoder with echo-state regression for tourism demand forecasting using search query data

(2018) Sheng-Xiang Lv et al.   APPLIED SOFT COMPUTING

Interval multiple-output soft sensors development with capacity control for wastewater treatment applications: A comparative study

(2018) Hongjun Xiao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks

(2018) Jorge Loy-Benitez et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Effect of long-term successive storm flows on water reclamation plant resilience

(2017) Jun-Jie Zhu et al.   WATER RESEARCH

A reliable sewage quality abnormal event monitoring system

(2017) Tianling Li et al.   WATER RESEARCH

Resilience theory incorporated into urban wastewater systems management. State of the art

(2017) P. Juan-García et al.   WATER RESEARCH

Nonlinear and robust statistical process monitoring based on variant autoencoders

(2016) Weiwu Yan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Fibre Optic Sensors for Selected Wastewater Characteristics

(2013) Su Chong et al.   SENSORS

Development of Software Sensors for Determining Total Phosphorus and Total Nitrogen in Waters

(2013) Eunhyoung Lee et al.   International Journal of Environmental Research and Public Health

Distributed Finite-Time Containment Control for Double-Integrator Multiagent Systems

(2013) Xiangyu Wang et al.   IEEE Transactions on Cybernetics

Predictive monitoring and diagnosis of periodic air pollution in a subway station

(2010) YongSu Kim et al.   JOURNAL OF HAZARDOUS MATERIALS