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Growth of MWCNTs from Azadirachta indica oil for optimization of chromium(VI) removal efficiency using machine learning approach.
Uthayakumar H, Radhakrishnan P, Shanmugam K, Kushwaha OS. Uthayakumar H, et al. Environ Sci Pollut Res Int. 2022 May;29(23):34841-34860. doi: 10.1007/s11356-021-17873-w. Epub 2022 Jan 18. Environ Sci Pollut Res Int. 2022. PMID: 35041160
To predict the adsorption efficiency, various ANN architectures were examined using different training algorithms, number of neurons in the hidden layer, and the transfer function for the hidden and output layers. A neural network structure with Levenberg-Marquardt (LM) tr …
To predict the adsorption efficiency, various ANN architectures were examined using different training algorithms, number of neurons in the …
Application of Artificial Neural Network as a nonhazardous alternative on kinetic analysis and modeling for green synthesis of cobalt nanocatalyst from Ocimum tenuiflorum.
Devaraj T, Aathika S, Mani Y, Jagadiswary D, Evangeline SJ, Dhanasekaran A, Palaniyandi S, Subramanian S. Devaraj T, et al. J Hazard Mater. 2021 Aug 15;416:125720. doi: 10.1016/j.jhazmat.2021.125720. Epub 2021 Mar 24. J Hazard Mater. 2021. PMID: 33839499
In order to supplement the trace metal in other applications, CoNCs were rapidly synthesized with a Cobalt sulphate solution at room temperature between 30 and 35 C at pH 7.2 under less reaction time. The Levenberg - Marquardt algorithm (LM) is used to investigate the expe …
In order to supplement the trace metal in other applications, CoNCs were rapidly synthesized with a Cobalt sulphate solution at room tempera …
Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients.
Montomoli J, Romeo L, Moccia S, Bernardini M, Migliorelli L, Berardini D, Donati A, Carsetti A, Bocci MG, Wendel Garcia PD, Fumeaux T, Guerci P, Schüpbach RA, Ince C, Frontoni E, Hilty MP; RISC-19-ICU Investigators. Montomoli J, et al. J Intensive Med. 2021 Oct 22;1(2):110-116. doi: 10.1016/j.jointm.2021.09.002. eCollection 2021 Oct. J Intensive Med. 2021. PMID: 36785563 Free PMC article.
Artificial neural network and multiple regression model for nickel(II) adsorption on powdered activated carbons.
Hema M, Srinivasan K. Hema M, et al. J Environ Sci Eng. 2011 Jul;53(3):237-44. J Environ Sci Eng. 2011. PMID: 23029923
The effective parameters for the removal of nickel (%R) by adsorption process, which included the pH, contact time (T), distinctiveness of activated carbon (Cn), amount of activated carbon (Cw) and initial concentration of nickel (Co) were investigated. Levenberg-Marquardt …
The effective parameters for the removal of nickel (%R) by adsorption process, which included the pH, contact time (T), distinctiveness of a …