Results 251 to 260 of about 1,569,701 (307)
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Critical reviews in environmental science and technology, 2020
Nowadays, water pollution has been considered a global concern on environmental sustainability, calling for high-performance materials in effective pollution treatments.
Z. Anfar +6 more
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Nowadays, water pollution has been considered a global concern on environmental sustainability, calling for high-performance materials in effective pollution treatments.
Z. Anfar +6 more
semanticscholar +1 more source
2018
Response surface methodology or in short RSM is a collection of mathematical and statistical tools and techniques that are useful in developing, understanding, and optimizing processes and products. Using this methodology, the responses that are influenced by several variables can be modeled, analyzed, and optimized.
Dharmaraja Selvamuthu, Dipayan Das
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Response surface methodology or in short RSM is a collection of mathematical and statistical tools and techniques that are useful in developing, understanding, and optimizing processes and products. Using this methodology, the responses that are influenced by several variables can be modeled, analyzed, and optimized.
Dharmaraja Selvamuthu, Dipayan Das
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Carbohydrate Polymers, 2020
Sargassum valorization has become increasingly important as the Caribbean region continues to struggle with the massive growth of the seaweed and its damaging effects.
Akeem Mohammed +3 more
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Sargassum valorization has become increasingly important as the Caribbean region continues to struggle with the massive growth of the seaweed and its damaging effects.
Akeem Mohammed +3 more
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Construction and Building Materials, 2019
This study aims at predicting and modeling the 7; 28 and 56 days compressive strength of a concrete containing concrete’s recycled coarse aggregates and that, for different range of cement content and slump.
Abdelkader Hammoudi +3 more
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This study aims at predicting and modeling the 7; 28 and 56 days compressive strength of a concrete containing concrete’s recycled coarse aggregates and that, for different range of cement content and slump.
Abdelkader Hammoudi +3 more
semanticscholar +1 more source
Journal of Environmental Management, 2019
In this study, response surface methodology (RSM)-artificial neural network (ANN) approach was used to optimise/model disperse dye removal by adsorption using water treatment residuals (WTR).
Mahesh R. Gadekar, M. Ahammed
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In this study, response surface methodology (RSM)-artificial neural network (ANN) approach was used to optimise/model disperse dye removal by adsorption using water treatment residuals (WTR).
Mahesh R. Gadekar, M. Ahammed
semanticscholar +1 more source
Mix design for recycled aggregate pervious concrete based on response surface methodology
, 2020This paper demonstrates that RSM can be used to design the mix proportion of recycled aggregate pervious concrete. From the perspective of the internal structure of recycled permeable concrete, the factors affecting its strength and porosity are the ...
Q. Zhang +3 more
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Response Surface Methodology in Biotechnology
Quality Engineering, 2010ABSTRACT Many experiments in biotechnology exploit the principles and methods of response surface methodology (RSM). The Quality by Design initiative in pharmaceutical development will accelerate this trend. In this article we give a broad picture of the important role played by RSM in biotechnology experimentation.
David M. Steinberg, Dizza Bursztyn
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An experimental methodology for response surface optimization methods
Journal of Global Optimization, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel J. Lizotte +2 more
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2017
Experiments for fitting a predictive model involving several continuous variables are known as response surface experiments. The objectives of response surface methodology include the determination of variable settings for which the mean response is optimized and the estimation of the response surface in the vicinity of this good location.
Angela Dean +2 more
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Experiments for fitting a predictive model involving several continuous variables are known as response surface experiments. The objectives of response surface methodology include the determination of variable settings for which the mean response is optimized and the estimation of the response surface in the vicinity of this good location.
Angela Dean +2 more
openaire +1 more source
2004
Abstract : There is a problem faced by experimenters in many technical fields, where, in general, the response variable of interest is y, and there is a set of predictor variables x1, x2,...xk. For example, in Dynamic Network Analysis (DNA) Response Surface Methodology (RSM) might be useful for sensitivity analysis of various DNA measures for different
Jeff Reminga +2 more
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Abstract : There is a problem faced by experimenters in many technical fields, where, in general, the response variable of interest is y, and there is a set of predictor variables x1, x2,...xk. For example, in Dynamic Network Analysis (DNA) Response Surface Methodology (RSM) might be useful for sensitivity analysis of various DNA measures for different
Jeff Reminga +2 more
openaire +1 more source