AIMC Topic: Wastewater

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Comparative analysis of supervised learning models for effluent quality prediction in wastewater treatment plants.

PloS one Jan 1, 2025
Effluent quality prediction is critical for optimizing Wastewater Treatment Plant (WWTP) operations, ensuring regulatory compliance, and promoting environmental sustainability. This study evaluates the performance of five supervised learning models-A...
Waste Disposal, Fluid Environmental Monitoring Water Purification China Supervised Machine Learning Water Quality Support Vector Machine Water Pollutants, Chemical Neural Networks, Computer Wastewater
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Validation of wastewater data using artificial intelligence tools and the evaluation of their performance regarding annotator agreement.

Water science and technology : a journal of the International Association on Water Pollution Research Jun 1, 2023
To prevent the pollution of water resources, the measurement and the limitation of wastewater discharges are required. Despite the progress in the field of data acquisition systems, sensors are subject to malfunctions that can bias the evaluation of ...
Environmental Pollution Water Resources Wastewater Algorithms Artificial Intelligence
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Modelling the biological treatment process aeration efficiency: application of the artificial neural network algorithm.

Water science and technology : a journal of the International Association on Water Pollution Research Dec 1, 2022
The biological treatment process (BTP) is responsible for removing chemical oxygen demand (COD) and ammonia using microorganisms present in wastewater. The BTP consumes large quantities of energy due to the transfer of oxygen using air pumps/blowers....
Neural Networks, Computer Oxygen Biological Oxygen Demand Analysis Wastewater Algorithms
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Energy saving for air supply in a real WWTP: application of a fuzzy logic controller.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 1, 2020
An unconventional cascade control system, for the regulation of air supply in activated sludge wastewater treatment plants (WWTPs), was tested. The dissolved oxygen (DO) set point in the aeration tank was dynamically calculated based on effluent ammo...
Sewage Ammonia Waste Disposal, Fluid Fuzzy Logic Wastewater
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Application of unsupervised learning and process simulation for energy optimization of a WWTP under various weather conditions.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 1, 2020
This paper outlines a hybrid modeling approach to facilitate weather-based operation and energy optimization for the largest Italian wastewater treatment plant (WWTP). Two clustering methods, K-means algorithm and Gaussian mixture model (GMM) based o...
Normal Distribution Bayes Theorem Weather Wastewater Unsupervised Machine Learning
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Predictive models for wastewater flow forecasting based on time series analysis and artificial neural network.

Water science and technology : a journal of the International Association on Water Pollution Research Jul 1, 2019
Wastewater flow forecasting is key for proper management of wastewater treatment plants (WWTPs). However, to predict the amount of incoming wastewater in WWTPs, wastewater engineers face challenges arising from numerous complexities and uncertainties...
Forecasting Neural Networks, Computer Canada Wastewater Models, Statistical Water Movements
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Wastewater treatment plant performance analysis using artificial intelligence - an ensemble approach.

Water science and technology : a journal of the International Association on Water Pollution Research Dec 1, 2018
In the present study, three different artificial intelligence based non-linear models, i.e. feed forward neural network (FFNN), adaptive neuro fuzzy inference system (ANFIS), support vector machine (SVM) approaches and a classical multi-linear regres...
Waste Disposal, Fluid Fuzzy Logic Artificial Intelligence Neural Networks, Computer Linear Models Wastewater
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Genetic algorithm and artificial neural network model for prediction of discoloration dye from an electro-oxidation process in a press-type reactor.

Water science and technology : a journal of the International Association on Water Pollution Research Sep 1, 2018
This study evaluates the effectiveness of an artificial neural network-genetic algorithm (ANN-GA) artificial intelligence (AI) model in the prediction of behavior and optimization of an electro-oxidation pilot press-type reactor, which treats a synth...
Algorithms Artificial Intelligence Oxidation-Reduction Neural Networks, Computer Wastewater
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Combining classifiers to detect faults in wastewater networks.

Water science and technology : a journal of the International Association on Water Pollution Research May 1, 2018
This work presents a methodology for automatic detection of structural faults in sewers from CCTV footage, which has been improved by combining the outputs of different machine learning techniques. The predictions of support vector machine and random...
Support Vector Machine Algorithms Wastewater Waste Disposal, Fluid
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An intelligent detecting system for permeability prediction of MBR.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2018
The membrane bioreactor (MBR) has been widely used to purify wastewater in wastewater treatment plants. However, a critical difficulty of the MBR is membrane fouling. To reduce membrane fouling, in this work, an intelligent detecting system is develo...
Reproducibility of Results Bioreactors Wastewater Water Purification Neural Networks, Computer Permeability Membranes, Artificial Automation Biofouling
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