[HTML][HTML] Artificial intelligence driven advances in wastewater treatment: Evaluating techniques for sustainability and efficacy in global facilities
D Narayanan, M Bhat, NR Samual, N Khatri… - Desalination and Water …, 2024 - Elsevier
Globally, wastewater management is a major issue. Using AI has improved treatment facility
design and efficacy. AI techniques for wastewater treatment, such as pollutant identification …
design and efficacy. AI techniques for wastewater treatment, such as pollutant identification …
Artificial neural network based models for predicting the effluent quality of a combined upflow anaerobic sludge blanket and facultative pond: Performance evaluation …
The main objective of this work was to test different artificial neural network (ANN) based
models, ie the ANN feed forward back propagation (ANN-FFBP), deep feed forward …
models, ie the ANN feed forward back propagation (ANN-FFBP), deep feed forward …
An evolutionary robust soft measurement technique via enhanced atom search optimization and outlier robust extreme learning machine for wastewater treatment …
J Xiong, Z Tao, L Hua, X Qiao, T Peng, MS Nazir… - Journal of Water …, 2023 - Elsevier
Accurate and prompt measurement of certain key variables occurring during wastewater
treatment, especially effluent ammonia nitrogen (NH4-N) and biological oxygen demand …
treatment, especially effluent ammonia nitrogen (NH4-N) and biological oxygen demand …
A comprehensive review on artificial intelligence in water treatment for optimization. Clean water now and the future
Given the severe effects that toxic compounds present in wastewater streams have on
humans, it is imperative that water and wastewater streams pollution be addressed globally …
humans, it is imperative that water and wastewater streams pollution be addressed globally …
Optimizing Wastewater Treatment Plant Operational Efficiency Through Integrating Machine Learning Predictive Models and Advanced Control Strategies
This research optimizes wastewater treatment plant (WWTP) operational performance by
integrating advanced control strategies and predictive modeling. Emphasizing the …
integrating advanced control strategies and predictive modeling. Emphasizing the …
[PDF][PDF] Prediction of Organic Pollution of Waters from the Déganobo Lake System: A Modeling Study
MK Yao, NS épse Soumahoro, KU Koffi - Science Letters, 2024 - researchgate.net
This work aimed to study the modeling of the organic pollution of the waters of the
Déganobo Lake system by three models: Multiple Linear Regression model (MLR model) …
Déganobo Lake system by three models: Multiple Linear Regression model (MLR model) …