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Keyword

COD prediction

Description: A wastewater-treatment modeling task that estimates chemical oxygen demand using process data and statistical or machine-learning methods.
OpenAlex ID: keywords/cod-prediction
Evaluating influences of seasonal variations and anthropogenic activities on alluvial groundwater hydrochemistry using ensemble learning approaches
2014 · Kunwar P. Singh, Shikha Gupta, et al. · Journal of Hydrology · 79
Development and application of random forest regression soft sensor model for treating domestic wastewater in a sequencing batch reactor
2023 · Qiu Cheng, Zhan Chunhong, et al. · Scientific Reports · 62
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Using microbial fuel cell output metrics and nonlinear modeling techniques for smart biosensing
2013 · Yinghua Feng, Olubanke Kayode, et al. · The Science of The Total Environment · 46
Date-Driven Soft-Sensor Design for Biological Wastewater Treatment Using Deep Neural Networks and Genetic Algorithms
2016 · Yu Qiu, Yiqi Liu, et al. · JOURNAL OF CHEMICAL ENGINEERING OF JAPAN · 37
A soft measurement approach of wastewater treatment process by lion swarm optimizer-based extreme learning machine
2021 · Feixiang Zhao, Mingzhe Liu, et al. · Measurement · 36
Prediction of Chemical Oxygen Demand (COD) Based on Wavelet Decomposition and Neural Networks
2007 · Davut Hanbay, Ibrahim Turkoglu, et al. · CLEAN - Soil Air Water · 31
Influent Quality and Quantity Prediction in Wastewater Treatment Plant: Model Construction and Evaluation
2021 · Rui Wang, Zhicheng Pan, et al. · Polish Journal of Environmental Studies · 29
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Modeling the Temperature Pattern of a Covered Anaerobic Pond with Computational Fluid Dynamics
2005 · A. Karteris, A. Papadopoulos, et al. · Water Air & Soil Pollution · 28
Water chemical oxygen demand prediction model based on the CNN and ultraviolet-visible spectroscopy
2022 · Binqiang Ye, Xuejie Cao, et al. · Frontiers in Environmental Science · 27
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Organic acids, biochemical oxygen demand and chemical oxygen demand in the soluble fraction of piggery slurry
1983 · Adrian G. Williams · Journal of the Science of Food and Agriculture · 27
An improved prediction model for COD measurements using UV-Vis spectroscopy
2024 · Li Guan, Yijun Zhou, et al. · RSC Advances · 23
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Performance evaluation and kinetic parameter analysis for static granular bed reactor (SGBR) for treating poultry slaughterhouse wastewater at mesophilic condition
2019 · M. Basitere, M. Njoya, et al. · Water Practice & Technology · 23
Inlet Water Quality Forecasting of Wastewater Treatment Based on Kernel Principal Component Analysis and an Extreme Learning Machine
2018 · Tingting Yu, Shuai Yang, et al. · Water · 23
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Online monitoring of water quality in industrial wastewater treatment process based on near-infrared spectroscopy
2025 · Cheng Peng, Zeming Wu, et al. · Water Research · 22
DOM tracking and prediction of rural domestic sewage with UV–vis and EEM in the Yangtze River Delta, China
2022 · Jinjing Lan, Lili Liu, et al. · Environmental Science and Pollution Research · 22
Brain-inspired multimodal approach for effluent quality prediction using wastewater surface images and water quality data
2023 · Junchen Li, Sijie Lin, et al. · Frontiers of Environmental Science & Engineering · 19
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Inversion prediction of COD in wastewater based on hyperspectral technology
2022 · Danping Huang, Ying Tian, et al. · Journal of Cleaner Production · 19
Biological treatment of leachate from solid wastes: Kinetic study and simulation
2012 · Muliye Tamrat, Carlos Costa, et al. · Biochemical Engineering Journal · 19
An Improved-Bagging Model for Water Chemical Oxygen Demand Measurements Using UV-Vis Spectroscopy
2021 · Jingwei Li, Sisi Pan, et al. · IEEE Access · 15
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Prediction of Chemical Oxygen Demand In Dondang River Using Artificial Neural Network
2012 · Anita Talib, Mawar Idati Amat · International Journal of Information and Education Technology · 14
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Removal of nitrogen components, bulk organics, and fluorophores during one-stage partial nitrification-Anammox treatment of landfill leachate
2021 · Yongyuan Yang, Chenjia Shao, et al. · Journal of environmental chemical engineering · 13
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Hybrid artificial neural network genetic algorithm technique for modeling chemical oxygen demand removal in anoxic/oxic process
2011 · Yongwen Ma, Mingzhi Huang, et al. · Journal of Environmental Science and Health Part A · 13
Making waves: Rethinking machine learning in wastewater effluent quality prediction through the overlooked roles of autocorrelation and baseline models
2026 · Yijie Wang, Damien Batstone, et al. · Water Research · 12
Effluent quality soft sensor for wastewater treatment plant with ensemble sparse learning-based online next generation reservoir computing
2024 · Gang Fang, Daoping Huang, et al. · Water Research X · 12
Online soft measurement for wastewater treatment system based on hybrid deep learning
2023 · Wenjie Mai, Zhenguo Chen, et al. · Frontiers of Environmental Science & Engineering · 10
Works count: 160
Citation count: 872
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