Prediction and Optimization of Process Parameters using Artificial Intelligence and Machine Learning Models

References (33)

1. 1 Some studies in machine learning using the game of checkers [DOI]
2. 2 Current advances in treatment technologies for removal of emerging contaminants from water – A critical review [DOI]
3. 3 Artificial neural network modeling of wastewater treatment and desalination using membrane processes: A review [DOI]
4. 4 Artificial intelligence: Building blocks and an innovation typology [DOI]
5. 5 Fundamentals of Artificial Neural Networks and Deep Learning [DOI]
6. 6 Recent advances in cellulose- and alginate-based hydrogels for water and wastewater treatment: A review [DOI]
7. 7 A review of artificial intelligence in water purification and wastewater treatment: Recent advancements [DOI]
8. 8 Application of artificial neural network and multiple linear regression in modeling nutrient recovery in vermicompost under different conditions [DOI]
9. 9 A Survey on the Development of Self-Organizing Maps for Unsupervised Intrusion Detection [DOI]
10. 10 Estimation of water quality index using artificial intelligence approaches and multi-linear regression [DOI]
11. 11 Modeling water flux in osmotic membrane bioreactor by adaptive network-based fuzzy inference system and artificial neural network [DOI]
12. 12 A back propagation neural network model for accurately predicting the removal efficiency of ammonia nitrogen in wastewater treatment plants using different biological processes [DOI]
13. 13 Ligand chemistry of gold, silver and copper nanoparticles for visual read-out assay of pesticides: A review [DOI]
14. 14 Artificial neural networks in contemporary toxicology research [DOI]
15. 15 Application of innovative electrochemical and microbial electrochemical technologies for the efficacious removal of emerging contaminants from wastewater: A review [DOI]
16. 16 Applying machine learning in intelligent sewage treatment: A case study of chemical plant in sustainable cities [DOI]
17. 17 A Review of the Modeling of Adsorption of Organic and Inorganic Pollutants from Water Using Artificial Neural Networks [DOI]
18. 18 Removal of methylene blue dye from aqueous solution using an efficient chitosan-pectin bio-adsorbent: kinetics and isotherm studies [DOI]
19. 19 Prediction of Sludge Volume Index in a Wastewater Treatment Plant Using Recurrent Neural Network [DOI]
20. 20 Adsorption of triclosan from aqueous solutions via novel metal–organic framework: Adsorption isotherms, kinetics, and optimization via Box-Behnken design [DOI]
21. 21 Advances in synthesis and application of amphoteric polymer-based water treatment agents [DOI]
22. 22 Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewater Treatment Systems [DOI]
23. 23 An adaptive task-oriented RBF network for key water quality parameters prediction in wastewater treatment process [DOI]
24. 24 Effect of free nitrous acid pre-treatment on primary sludge biodegradability and its implications [DOI]
25. 25 Artificial neural network based modeling and optimization of refined palm oil process [DOI]
26. 26 Removal of emerging pollutants from aquatic system using electrochemical treatment and adsorption: Comparison and analysis [DOI]
27. 27 Genetic algorithm-assisted artificial neural network modelling for remediation and recovery of Pb (II) and Cr(VI) by manganese and cobalt spinel ferrite super nanoadsorbent [DOI]
28. 28 An overview of different strategies involved in an efficient control of emerging contaminants: Promising enzymes and the related reaction process [DOI]
29. 29 Polyethyleneglycol-polyhydroxylbutyrate functionalized carbon nanotubes for industrial electroplating wastewater treatment [DOI]
30. 30 Magnetic carbon nanotube sorbents with macropores formed by salts for oily wastewater treatment [DOI]
31. 31 Comparison of artificial neural network and multi-kinetic models to predict optimum retention time for dairy wastewater treatment in the integrated fixed-film activated sludge [DOI]
32. 32 Removal of emerging contaminants from pharmaceutical wastewater through application of bionanotechnology [DOI]
33. 33 Neural networks and their application to textile technology [DOI]

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