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170 related items for PubMed ID: 33748455
1. Application of soft-computing techniques for statistical modeling and optimization of Dyacrodes edulis seed oil extraction using polar and non-polar solvents. Esonye C, Onukwuli OD, Anadebe VC, Ezeugo JNO, Ogbodo NJ. Heliyon; 2021 Mar; 7(3):e06342. PubMed ID: 33748455 [Abstract] [Full Text] [Related]
2. Medium optimization for pyrroloquinoline quinone (PQQ) production by Methylobacillus sp. zju323 using response surface methodology and artificial neural network-genetic algorithm. Wei P, Si Z, Lu Y, Yu Q, Huang L, Xu Z. Prep Biochem Biotechnol; 2017 Aug 09; 47(7):709-719. PubMed ID: 28448745 [Abstract] [Full Text] [Related]
3. Multiple Modeling Techniques for Assessing Sesame Oil Extraction under Various Operating Conditions and Solvents. Osman H, Shigidi I, Arabi A. Foods; 2019 Apr 25; 8(4):. PubMed ID: 31027260 [Abstract] [Full Text] [Related]
4. Optimization of process parameters for improved chitinase activity from Thermomyces sp. by using artificial neural network and genetic algorithm. Suryawanshi N, Sahu J, Moda Y, Eswari JS. Prep Biochem Biotechnol; 2020 Apr 25; 50(10):1031-1041. PubMed ID: 32713255 [Abstract] [Full Text] [Related]
5. Optimization of accelerated solvent extraction of zeaxanthin from orange paprika using response surface methodology and an artificial neural network coupled with a genetic algorithm. Kim J, Lee GE, Kim S. Food Sci Biotechnol; 2024 Aug 25; 33(11):2521-2531. PubMed ID: 39144187 [Abstract] [Full Text] [Related]
6. Optimization of ultrasound-assisted solvent extraction of hemp (Cannabis sativa L.) seed oil using RSM: Evaluation of oxidative stability and physicochemical properties of oil. Esmaeilzadeh Kenari R, Dehghan B. Food Sci Nutr; 2020 Sep 25; 8(9):4976-4986. PubMed ID: 32994959 [Abstract] [Full Text] [Related]
7. Optimisation of Croton gratissimus Oil Extraction by n-Hexane and Ethyl Acetate Using Response Surface Methodology. Jiyane PC, Tumba K, Musonge P. J Oleo Sci; 2018 Apr 01; 67(4):369-377. PubMed ID: 29526876 [Abstract] [Full Text] [Related]
8. Optimization of Ultrasonic-Assisted Extraction Conditions for Bioactive Components and Antioxidant Activity of Poria cocos (Schw.) Wolf by an RSM-ANN-GA Hybrid Approach. Chen S, Zhang H, Yang L, Zhang S, Jiang H. Foods; 2023 Feb 01; 12(3):. PubMed ID: 36766147 [Abstract] [Full Text] [Related]
9. Statistical optimization of the phytoremediation of arsenic by Ludwigia octovalvis- in a pilot reed bed using response surface methodology (RSM) versus an artificial neural network (ANN). Titah HS, Halmi MIEB, Abdullah SRS, Hasan HA, Idris M, Anuar N. Int J Phytoremediation; 2018 Jun 07; 20(7):721-729. PubMed ID: 29723047 [Abstract] [Full Text] [Related]
10. Optimization of Oil Extraction from Cocoa Bean Shells Using Three Solvents with Solvent Reusability. Thawornprasert J, Somnuk K. ACS Omega; 2024 Feb 06; 9(5):5995-6004. PubMed ID: 38343935 [Abstract] [Full Text] [Related]
11. Modelling and optimization of Mn/activate carbon nanocatalysts for NO reduction: comparison of RSM and ANN techniques. Mousavi SM, Niaei A, Salari D, Panahi PN, Samandari M. Environ Technol; 2013 Feb 06; 34(9-12):1377-84. PubMed ID: 24191470 [Abstract] [Full Text] [Related]
12. Modelling and optimisation of electrocoagulation/flocculation recovery of effluent from land-based aquaculture by artificial intelligence (AI) approaches. Igwegbe CA, Obi CC, Ohale PE, Ahmadi S, Onukwuli OD, Nwabanne JT, Białowiec A. Environ Sci Pollut Res Int; 2023 Jun 06; 30(27):70897-70917. PubMed ID: 37160520 [Abstract] [Full Text] [Related]
13. Optimization of Azare low-grade barite beneficiation: comparative study of response surface methodology and artificial neural network approach. Popoola LT, Fadayini O. Heliyon; 2023 Apr 06; 9(4):e15338. PubMed ID: 37101619 [Abstract] [Full Text] [Related]
14. Response surface methodology and artificial neural network approach for the optimization of ultrasound-assisted extraction of polyphenols from garlic. Ciric A, Krajnc B, Heath D, Ogrinc N. Food Chem Toxicol; 2020 Jan 06; 135():110976. PubMed ID: 31743742 [Abstract] [Full Text] [Related]
15. Artificial Intelligence versus Statistical Modeling and Optimization of Cholesterol Oxidase Production by using Streptomyces Sp. Pathak L, Singh V, Niwas R, Osama K, Khan S, Haque S, Tripathi CK, Mishra BN. PLoS One; 2015 Jan 06; 10(9):e0137268. PubMed ID: 26368924 [Abstract] [Full Text] [Related]
16. COSMO-RS-based assessment of thermodynamic tools in predicting the polar and non-polar solvents efficiency in vegetable oil extraction. Al-Maari MA, Hizaddin HF, Salleh MZM, Hayyan A. J Mol Model; 2024 Feb 17; 30(3):73. PubMed ID: 38368310 [Abstract] [Full Text] [Related]
17. Response surface and neural network models for performance of broiler chicks fed diets varying in digestible protein and critical amino acids from 11 to 17 days of age. Ahmadi H, Golian A. Poult Sci; 2011 Sep 17; 90(9):2085-96. PubMed ID: 21844277 [Abstract] [Full Text] [Related]
18. Ultrasound-Assisted Extraction of Blackberry Seed Oil: Optimization and Oil Characterization. Matei PL, Deleanu I, Brezoiu AM, Chira NA, Busuioc C, Isopencu G, Cîlțea-Udrescu M, Alexandrescu E, Stoica-Guzun A. Molecules; 2023 Mar 08; 28(6):. PubMed ID: 36985462 [Abstract] [Full Text] [Related]
19. A hybrid RSM-ANN-GA approach on optimisation of extraction conditions for bioactive component-rich laver (Porphyra dentata) extract. Aung T, Kim SJ, Eun JB. Food Chem; 2022 Jan 01; 366():130689. PubMed ID: 34343950 [Abstract] [Full Text] [Related]
20. Ultrasound assisted biodiesel production from sesame (Sesamum indicum L.) oil using barium hydroxide as a heterogeneous catalyst: Comparative assessment of prediction abilities between response surface methodology (RSM) and artificial neural network (ANN). Sarve A, Sonawane SS, Varma MN. Ultrason Sonochem; 2015 Sep 01; 26():218-228. PubMed ID: 25630700 [Abstract] [Full Text] [Related] Page: [Next] [New Search]