2022
DOI: 10.1016/j.csite.2022.102586
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Investigation of combustion performance of tannery sewage sludge using thermokinetic analysis and prediction by artificial neural network

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Cited by 28 publications
(1 citation statement)
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“…Khan et al 24 also used the machine learning method to predict the experimental results, and the results showed that the difference between the predicted hydrogen production of biomass sewage sludge and the actual hydrogen production was less than 2%. Khan et al 25 used kinetic knowledge to analyze the combustion behavior of tannery sewage sludge and employed an artificial neural network study to predict the thermal degradation behavior; the results showed a good agreement between the experimental values and the predicted values. Furthermore, the density functional theory (DFT) calculation method has been used to assist the study.…”
Section: Introductionmentioning
confidence: 99%
“…Khan et al 24 also used the machine learning method to predict the experimental results, and the results showed that the difference between the predicted hydrogen production of biomass sewage sludge and the actual hydrogen production was less than 2%. Khan et al 25 used kinetic knowledge to analyze the combustion behavior of tannery sewage sludge and employed an artificial neural network study to predict the thermal degradation behavior; the results showed a good agreement between the experimental values and the predicted values. Furthermore, the density functional theory (DFT) calculation method has been used to assist the study.…”
Section: Introductionmentioning
confidence: 99%