These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

192 related articles for article (PubMed ID: 30343219)

  • 21. Optimisation of reactive dye removal by sequential electrocoagulation-flocculation method: comparing ANN and RSM prediction.
    Nourouzi MM; Chuah TG; Choong TS
    Water Sci Technol; 2011; 63(5):984-94. PubMed ID: 21411950
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Fenalan Yellow G adsorption using surface-functionalized green nanoceria: An insight into mechanism and statistical modelling.
    Rajarathinam N; Arunachalam T; Raja S; Selvasembian R
    Environ Res; 2020 Feb; 181():108920. PubMed ID: 31776017
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A new approach for optimization of small-scale RO membrane using artificial groundwater.
    Garg MC; Joshi H
    Environ Technol; 2014; 35(21-24):2988-99. PubMed ID: 25189847
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Computational AI to predict and optimize the relationship between dye removal efficiency and Gibbs free energy in the adsorption process utilizing TiO
    Zaferani SPG; Amiri MK; Amooey AA
    Int J Biol Macromol; 2024 Apr; 264(Pt 2):130738. PubMed ID: 38460648
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Artificial neural network (ANN) approach for modeling of Pb(II) adsorption from aqueous solution by Antep pistachio (Pistacia Vera L.) shells.
    Yetilmezsoy K; Demirel S
    J Hazard Mater; 2008 May; 153(3):1288-300. PubMed ID: 17980484
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Optimization and modeling of simultaneous ultrasound-assisted adsorption of ternary dyes using copper oxide nanoparticles immobilized on activated carbon using response surface methodology and artificial neural network.
    Ghaedi AM; Karamipour S; Vafaei A; Baneshi MM; Kiarostami V
    Ultrason Sonochem; 2019 Mar; 51():264-280. PubMed ID: 30322764
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Muscovite clay for methylene blue removal: advanced optimization and Al-guided breakthroughs-an independent application from prior antibiotic removal investigation.
    Lebbihi R; Haddad L; Labiod C; Ismail AM; M'Nassri S; Majdoub R
    Environ Sci Pollut Res Int; 2024 Jan; 31(2):2851-2868. PubMed ID: 38066260
    [TBL] [Abstract][Full Text] [Related]  

  • 28. The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach.
    Fiyadh SS; AlSaadi MA; AlOmar MK; Fayaed SS; Hama AR; Bee S; El-Shafie A
    Water Sci Technol; 2017 Nov; 76(9-10):2413-2426. PubMed ID: 29144299
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Application of linear and non-linear methods for modeling removal efficiency of textile dyes from aqueous solutions using magnetic Fe
    Ashrafi M; Arab Chamjangali M; Bagherian G; Goudarzi N
    Spectrochim Acta A Mol Biomol Spectrosc; 2017 Jan; 171():268-279. PubMed ID: 27541799
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Biosorptive uptake of ibuprofen by steam activated biochar derived from mung bean husk: Equilibrium, kinetics, thermodynamics, modeling and eco-toxicological studies.
    Mondal S; Bobde K; Aikat K; Halder G
    J Environ Manage; 2016 Nov; 182():581-594. PubMed ID: 27544645
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Artificial neural network-genetic algorithm based optimization for the adsorption of methylene blue and brilliant green from aqueous solution by graphite oxide nanoparticle.
    Ghaedi M; Zeinali N; Ghaedi AM; Teimuori M; Tashkhourian J
    Spectrochim Acta A Mol Biomol Spectrosc; 2014 May; 125():264-77. PubMed ID: 24556135
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Cross-linked chitosan/zeolite as a fixed-bed column for organic micropollutants removal from aqueous solution, optimization with RSM and artificial neural network.
    Vakili M; Mojiri A; Kindaichi T; Cagnetta G; Yuan J; Wang B; Giwa AS
    J Environ Manage; 2019 Nov; 250():109434. PubMed ID: 31472379
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparison of modeling, optimization, and prediction of important parameters in the adsorption of cefixime onto sol-gel derived carbon aerogel and modified with nickel using ANN, RSM, GA, and SOLVER methods.
    Hosseinpoor S; Sheikhmohammadi A; Rasoulzadeh H; Saadani M; Ghasemi SM; Alipour MR; Hadei M; Aghaei Zarch SM
    Chemosphere; 2024 Apr; 353():141547. PubMed ID: 38447896
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Modeling and optimization of heterogeneous photo-Fenton process with response surface methodology and artificial neural networks.
    Kasiri MB; Aleboyeh H; Aleboyeh A
    Environ Sci Technol; 2008 Nov; 42(21):7970-5. PubMed ID: 19031889
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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; 20(7):721-729. PubMed ID: 29723047
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Adsorptive removal of arsenic by novel iron/olivine composite: Insights into preparation and adsorption process by response surface methodology and artificial neural network.
    Ghosal PS; Kattil KV; Yadav MK; Gupta AK
    J Environ Manage; 2018 Mar; 209():176-187. PubMed ID: 29291487
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Optimization of a cationic dye removal by a chemically modified agriculture by-product using response surface methodology: biomasses characterization and adsorption properties.
    Azzaz AA; Jellali S; Akrout H; Assadi AA; Bousselmi L
    Environ Sci Pollut Res Int; 2017 Apr; 24(11):9831-9846. PubMed ID: 27726078
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Removal of Disperse Orange and Disperse Blue dyes present in textile mill effluent using zeolite synthesized from cenospheres.
    Markandeya M; Shukla SP; Srivastav AL
    Water Sci Technol; 2021 Jul; 84(2):445-457. PubMed ID: 34312350
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Application of central composite design and artificial neural network in modeling of reactive blue 21 dye removal by photo-ozonation process.
    Mehrizad A; Gharbani P
    Water Sci Technol; 2016; 74(1):184-93. PubMed ID: 27386996
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Coagulation/flocculation process for dye removal using sludge from water treatment plant: optimization through response surface methodology.
    Moghaddam SS; Moghaddam MR; Arami M
    J Hazard Mater; 2010 Mar; 175(1-3):651-7. PubMed ID: 19944532
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.