Related references
Note: Only part of the references are listed.A new hybrid ensemble approach for the prediction of effluent total nitrogen from a full-scale wastewater treatment plant using a combined trickling filter-activated sludge system
Shabnam Sadri Moghaddam et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)
Water quality prediction model using Gaussian process regression based on deep learning for carbon neutrality in papermaking wastewater treatment system
Xin Wan et al.
ENVIRONMENTAL RESEARCH (2022)
Model construction and application for effluent prediction in wastewater treatment plant: Data processing method optimization and process parameters integration
Rui Wang et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2022)
Cost of raising discharge standards: A plant-by-plant assessment from wastewater sector in China
Hanshi Su et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2022)
Research on SVR Water Quality Prediction Model Based on Improved Sparrow Search Algorithm
Xuehua Su et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2022)
An adaptive task-oriented RBF network for key water quality parameters prediction in wastewater treatment process
Xi Meng et al.
NEURAL COMPUTING & APPLICATIONS (2021)
Effluent quality prediction in papermaking wastewater treatment processes using dynamic Bayesian networks
Hao Zhang et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Simulation of the biochemical and chemical oxygen demand and total suspended solids in wastewater treatment plants: Data-mining approach
H. Asami et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Arti fi cial intelligence based ensemble modeling of wastewater treatment plant using jittered data
Vahid Nourani et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Machine learning based marine water quality prediction for coastal hydro-environment management
Tianan Deng et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)
Forecasting effluent and performance of wastewater treatment plant using different machine learning techniques
Mustafa El-Rawy et al.
JOURNAL OF WATER PROCESS ENGINEERING (2021)
Prediction of water quality parameters using machine learning models: a case study of the Karun River, Iran
Atefeh Nouraki et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)
Environmental assessment based surface water quality prediction using hyper-parameter optimized machine learning models based on consistent big data
Muhammad Izhar Shah et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2021)
Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms performance
Faramarz Bagherzadeh et al.
JOURNAL OF WATER PROCESS ENGINEERING (2021)
Tackling environmental challenges in pollution controls using artificial intelligence: A review
Zhiping Ye et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
A novel effluent quality predicting model based on genetic-deep belief network algorithm for cleaner production in a full-scale paper-making wastewater treatment
Guoqiang Niu et al.
JOURNAL OF CLEANER PRODUCTION (2020)
The potential of new ensemble machine learning models for effluent quality parameters prediction and related uncertainty
Ahmad Sharafati et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2020)
Prediction of effluent quality in papermaking wastewater treatment processes using dynamic kernel-based extreme learning machine
Hongbin Liu et al.
PROCESS BIOCHEMISTRY (2020)
Forecasting COD load in municipal sewage based on ARMA and VAR algorithms
Yi Man et al.
RESOURCES CONSERVATION AND RECYCLING (2019)
Machine learning methods for better water quality prediction
Ali Najah Ahmed et al.
JOURNAL OF HYDROLOGY (2019)
Particle swarm optimization algorithm: an overview
Dongshu Wang et al.
SOFT COMPUTING (2018)
Novel performance prediction model of a biofilm system treating domestic wastewater based on stacked denoising auto-encoders deep learning network
Shuai Shi et al.
CHEMICAL ENGINEERING JOURNAL (2018)
Prediction of effluent quality parameters of a wastewater treatment plant using a supervised committee fuzzy logic model
Ata Allah Nadiri et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Comparison of the reduction of chemical oxygen demand in wastewater from mineral processing using the coagulation-flocculation, adsorption and Fenton processes
Xiangsong Meng et al.
MINERALS ENGINEERING (2018)
Improving SVR and ANFIS performance using wavelet transform and PCA algorithm for modeling and predicting biochemical oxygen demand (BOD)
Abazar Solgi et al.
ECOHYDROLOGY & HYDROBIOLOGY (2017)
Integrating Support Vector Regression and a geomorphologic Artificial Neural Network for daily rainfall-runoff modeling
Seiyed Mossa Hosseini et al.
APPLIED SOFT COMPUTING (2016)
Prediction and structural uncertainty analyses of artificial neural networks using hierarchical Bayesian model averaging
Nima Chitsazan et al.
JOURNAL OF HYDROLOGY (2015)
A comparative analysis of support vector machines and extreme learning machines
Xueyi Liu et al.
NEURAL NETWORKS (2012)
Self-Adaptive Multimethod Search for Global Optimization in Real-Parameter Spaces
Jasper A. Vrugt et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2009)
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Dervis Karaboga et al.
JOURNAL OF GLOBAL OPTIMIZATION (2007)
Forecasting systems reliability based on support vector regression with genetic algorithms
Kuan-Yu Chen
RELIABILITY ENGINEERING & SYSTEM SAFETY (2007)