Application of magnetized nanomaterial for textile effluent remediation using response surface methodology

Pumice-supported ZnO-photocatalyzed degradation of organic pollutant in textile effluent: optimization by response surface methodology, artificial neural network, and adaptive neural-fuzzy inference system

Environmental Science and Pollution Research ◽

10.1007/s11356-021-17496-1 ◽

2021 ◽

Author(s):

Adeyinka Sikiru Yusuff ◽

Niyi Babatunde Ishola ◽

Afeez Olayinka Gbadamosi ◽

Kudirat Aina Thompson-Yusuff

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Organic Pollutant ◽

Textile Effluent ◽

Inference System ◽

Neural Fuzzy

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Application of response surface methodology for the optimization of textile effluent biodecolorization and its toxicity perspectives using plant toxicity, plasmid nicking assays

Clean Technologies and Environmental Policy ◽

10.1007/s10098-014-0827-3 ◽

2014 ◽

Vol 17 (3) ◽

pp. 709-720 ◽

Cited By ~ 18

Author(s):

Shekhar B. Jadhav ◽

Amit S. Chougule ◽

Dhawal P. Shah ◽

Cristina Silva Pereira ◽

Jyoti P. Jadhav

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Textile Effluent ◽

Plant Toxicity ◽

Plasmid Nicking

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Removal of reactive blue and disperse red dyes from synthetic textile effluent by electrocoagulation process using Al-Al and Fe-Fe electrodes: parametric optimization by response surface methodology

10.5004/dwt.2021.27111 ◽

2021 ◽

Vol 223 ◽

pp. 363-379

Author(s):

Noufissa Sqalli Houssini ◽

Abdelhafid Essadki ◽

Esseddik Elqars

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Parametric Optimization ◽

Textile Effluent ◽

Electrocoagulation Process

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Alternatives to Difference Scores: Polynomial Regression and Response Surface Methodology

PsycEXTRA Dataset ◽

10.1037/e576892011-020 ◽

2003 ◽

Cited By ~ 19

Author(s):

Jeffrey R. Edwards

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Polynomial Regression ◽

Difference Scores

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Optimization of Ultrasonic-Assisted Extraction of Embelin from Embelia ribes using Response Surface Methodology

Planta Medica ◽

10.1055/s-0033-1348615 ◽

2013 ◽

Vol 79 (10) ◽

Cited By ~ 1

Author(s):

M Mujeeb ◽

S Alam ◽

M Akhtar ◽

AK Najmi ◽

M Aqil ◽

...

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Embelia Ribes ◽

Assisted Extraction ◽

Ultrasonic Assisted ◽

Ultrasonic Assisted Extraction

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Optimization of Oleyl Ester using Statistical Approach of Response Surface Methodology

International Conference on Chemical, Environmental and Biological Sciences (CEBS-2015) March 18-19, 2015 Dubai (UAE) ◽

10.15242/iicbe.c0315036 ◽

2015 ◽

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Statistical Approach

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A Response Surface Methodology Study for the Protein Production of Chlorella sp.

International Conference on Chemical, Agricultural and Medical Sciences (CAMS-2014) May 2-3, 2014 Antalya (Turkey) ◽

10.15242/iicbe.c514068 ◽

2014 ◽

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Protein Production ◽

Chlorella Sp

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REMOVAL OF REACTIVE BLUE 19 FROM AQUEOUS SOLUTION BY PEANUT SHELL: OPTIMIZATION BY RESPONSE SURFACE METHODOLOGY

Selcuk University Journal of Engineering Science and Technology ◽

10.15317/scitech.2017.91 ◽

2017 ◽

Vol 5 (3) ◽

pp. 312-321

Author(s):

Elçin DEMİRHAN

Keyword(s):

Aqueous Solution ◽

Response Surface Methodology ◽

Response Surface ◽

Peanut Shell ◽

Reactive Blue 19 ◽

Shell Optimization

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Mathematical Modeling and Process Parameters Optimization for Surface Roughness in Edm for En31 Material by Response Surface Methodology

Indian Journal Of Applied Research ◽

10.15373/2249555x/oct2013/50 ◽

2011 ◽

Vol 3 (10) ◽

pp. 1-3

Author(s):

P.B.Wagh P.B.Wagh ◽

◽

Dr. R.R.Deshmukh Dr. R.R.Deshmukh ◽

R.D.Gurav R.D.Gurav

Keyword(s):

Mathematical Modeling ◽

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Process Parameters ◽

Parameters Optimization ◽

Process Parameters Optimization

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Multi Response Optimization of Cutting Forces in End Milling Using Response Surface Methodology and Desirability Function

International Journal of Scientific Research ◽

10.15373/22778179/may2013/45 ◽

2012 ◽

Vol 2 (5) ◽

pp. 126-130

Author(s):

PRAJINA N V PRAJINA N V ◽

◽

T D JOHN T D JOHN

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Cutting Forces ◽

End Milling ◽

Desirability Function ◽

Response Optimization

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