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Characterization and Optimization of Cellulose-Degrading Bacteria Isolated from Fecal Samples of Elaphurus davidianus Through Response Surface Methodology. [PDF]
MicroorganismsWu H, Shi C, Xu T, Dai X, Zhao D.
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Extract optimization and biological activities of Otidea onotica using Artificial Neural Network-Genetic Algorithm and response surface methodology techniques. [PDF]
BMC BiotechnolSevindik M +4 more
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Optimization of machining parameters while turning AISI316 stainless steel using response surface methodology. [PDF]
Sci RepSurya MS.
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Response Surface Methodology [PDF]
Journal of Quality Technology, 1996 (1996). Response Surface Methodology. IIE Transactions: Vol. 28, Scheduling and Logistics, pp. 1031-1032.
Douglas C. Montgomery, Raymond H. Myers
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WIREs Computational Statistics, 2010
AbstractThe purpose of this article is to provide a survey of the various stages in the development of response surface methodology (RSM). The coverage of these stages is organized in three parts that describe the evolution of RSM since its introduction in the early 1950s.
André I. Khuri, Siuli Mukhopadhyay
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AbstractThe purpose of this article is to provide a survey of the various stages in the development of response surface methodology (RSM). The coverage of these stages is organized in three parts that describe the evolution of RSM since its introduction in the early 1950s.
André I. Khuri, Siuli Mukhopadhyay
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The Journal of the Science of Food and Agriculture, 2022
Response surface methodology (RSM) is a widely used mathematical and statistical technique for modelling and optimizing the process for the extraction of bioactive compounds.
A. Weremfo +4 more
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Response surface methodology (RSM) is a widely used mathematical and statistical technique for modelling and optimizing the process for the extraction of bioactive compounds.
A. Weremfo +4 more
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A review of response surface methodology for biogas process optimization
Cogent Engineering, 2022This paper aimed at reviewing current researches on the use of Response Surface Methodology in the optimisation of Biogas processes. It explored the performance of RSM in biogas process optimization, the most effective technique and the attendant ...
Solal Stephanie Djimtoingar +3 more
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2020
Response Surface Methods (RSMs) are statistical and numerical models that approximate the relationship between multiple input variables and an output variable. This chapter introduces the methodology and its importance for engineer- ing design optimisation. The basic steps to build RSMs and validate the model accuracy are explained.
Péter Zénó Korondi +2 more
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Response Surface Methods (RSMs) are statistical and numerical models that approximate the relationship between multiple input variables and an output variable. This chapter introduces the methodology and its importance for engineer- ing design optimisation. The basic steps to build RSMs and validate the model accuracy are explained.
Péter Zénó Korondi +2 more
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Response Surface Methodology in Biotechnology [PDF]
Quality Engineering, 2010 ABSTRACT 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.
Dizza Bursztyn, David M. Steinberg
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