A comparative study of the disinfection efficacy of H2O2/ferrate and UV/H2O2/ferrate processes on inactivation of Bacillus subtilis spores by response surface methodology for modeling and optimization

Food and Chemical Toxicology ◽

10.1016/j.fct.2018.04.002 ◽

2018 ◽

Vol 116 ◽

pp. 129-137 ◽

Cited By ~ 11

Author(s):

Atiyeh Rajabi Matin ◽

Samira Yousefzadeh ◽

Ehsan Ahmadi ◽

Amirhossein Mahvi ◽

Mahmood Alimohammadi ◽

...

Keyword(s):

Response Surface Methodology ◽

Bacillus Subtilis ◽

Comparative Study ◽

Response Surface ◽

Modeling And Optimization

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A hybrid statistical approach for modeling and optimization of RON: A comparative study and combined application of response surface methodology (RSM) and artificial neural network (ANN) based on design of experiment (DOE)

Chemical Engineering Research and Design ◽

10.1016/j.cherd.2016.05.023 ◽

2016 ◽

Vol 113 ◽

pp. 264-272 ◽

Cited By ~ 21

Author(s):

F.M. Elfghi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Comparative Study ◽

Response Surface ◽

Design Of Experiment ◽

Statistical Approach ◽

Modeling And Optimization ◽

Combined Application ◽

Artificial Neural Network Ann

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Modeling and optimization of fermentation variables for enhanced production of lactase by isolated Bacillus subtilis strain VUVD001 using artificial neural networking and response surface methodology

3 Biotech ◽

10.1007/s13205-017-0802-x ◽

2017 ◽

Vol 7 (3) ◽

Cited By ~ 2

Author(s):

T. C. Venkateswarulu ◽

K. Vidya Prabhakar ◽

R. Bharath Kumar ◽

S. Krupanidhi

Keyword(s):

Response Surface Methodology ◽

Bacillus Subtilis ◽

Response Surface ◽

Subtilis Strain ◽

Modeling And Optimization ◽

Enhanced Production ◽

Artificial Neural Networking ◽

Artificial Neural ◽

Optimization Of Fermentation

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Response surface methodology as a tool for modeling and optimization of Bacillus subtilis spores inactivation by UV/ nano-Fe 0 process for safe water production

Food and Chemical Toxicology ◽

10.1016/j.fct.2018.02.045 ◽

2018 ◽

Vol 114 ◽

pp. 334-345 ◽

Cited By ~ 14

Author(s):

Samira Yousefzadeh ◽

Atiyeh Rajabi Matin ◽

Ehsan Ahmadi ◽

Zahra Sabeti ◽

Mahmood Alimohammadi ◽

...

Keyword(s):

Response Surface Methodology ◽

Bacillus Subtilis ◽

Response Surface ◽

Water Production ◽

Modeling And Optimization ◽

Safe Water

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Modeling and optimization of pectin extraction from banana peel using artificial neural networks (ANNs) and response surface methodology (RSM)

Journal of Food Measurement & Characterization ◽

10.1007/s11694-021-00852-7 ◽

2021 ◽

Author(s):

Ermias Girma Aklilu

Keyword(s):

Neural Networks ◽

Response Surface Methodology ◽

Artificial Neural Networks ◽

Response Surface ◽

Banana Peel ◽

Modeling And Optimization ◽

Artificial Neural

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Modeling and optimization of mixing parameters using response surface methodology and characterization of palm oil clinker fine modified bitumen

Construction and Building Materials ◽

10.1016/j.conbuildmat.2021.123849 ◽

2021 ◽

Vol 298 ◽

pp. 123849

Author(s):

Nura Shehu Aliyu Yaro ◽

Madzlan Bin Napiah ◽

Muslich Hartadi Sutanto ◽

Aliyu Usman ◽

Saeed Modibbo Saeed

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Palm Oil ◽

Modified Bitumen ◽

Modeling And Optimization ◽

Mixing Parameters

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Comparative study of response surface methodology and artificial neural network in the optimization of the ultrasound-assisted extraction of diarylheptanoid phytoestrogens from Curcuma comosa rhizomes

Chemical Engineering and Processing - Process Intensification ◽

10.1016/j.cep.2021.108461 ◽

2021 ◽

Vol 165 ◽

pp. 108461

Author(s):

Bancha Yingngam ◽

Abhiruj Navabhatra ◽

Wandee Rungseevijitprapa ◽

Chutinun Prasitpuriprecha ◽

Adelheid Brantner

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Comparative Study ◽

Response Surface ◽

Ultrasound Assisted Extraction ◽

Curcuma Comosa ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Artificial Neural

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Modeling and optimization of stability aspects for water diesel emulsified fuel using response surface methodology

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2021.1915435 ◽

2021 ◽

pp. 1-24

Author(s):

Deepti Khatri ◽

Rahul Goyal ◽

Akshat Jain ◽

Alan T. Johnson

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Modeling And Optimization ◽

Emulsified Fuel

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Predicting the capability of carboxymethyl cellulose-stabilized iron nanoparticles for the remediation of arsenite from water using the response surface methodology (RSM) model: Modeling and optimization

Journal of Contaminant Hydrology ◽

10.1016/j.jconhyd.2017.06.005 ◽

2017 ◽

Vol 203 ◽

pp. 85-92 ◽

Cited By ~ 12

Author(s):

Amir Mohammadi ◽

Sepideh Nemati ◽

Mohammad Mosaferi ◽

Ali Abdollahnejhad ◽

Mohammad Almasian ◽

...

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Carboxymethyl Cellulose ◽

Iron Nanoparticles ◽

Modeling And Optimization ◽

Rsm Model

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Modeling and Optimization of Nanofluid Flow in Flat Tubes Using a Combination of CFD and Response Surface Methodology

Heat Transfer-Asian Research ◽

10.1002/htj.21126 ◽

2014 ◽

Vol 44 (4) ◽

pp. 377-395 ◽

Cited By ~ 3

Author(s):

H. Safikhani ◽

A. Abbassi ◽

A. Khalkhali ◽

M. Kalteh

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Nanofluid Flow ◽

Modeling And Optimization ◽

Flat Tubes

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Optimizing the biodegradation of two keratinous wastes through a Bacillus subtilis recombinant strain using a response surface methodology

Biodegradation ◽

10.1007/s10532-010-9368-6 ◽

2010 ◽

Vol 21 (6) ◽

pp. 1077-1092 ◽

Cited By ~ 3

Author(s):

Amira M. Embaby ◽

Taha I. Zaghloul ◽

Ahmed R. Elmahdy

Keyword(s):

Response Surface Methodology ◽

Bacillus Subtilis ◽

Response Surface ◽

Recombinant Strain

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