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Response surface analysis and simulation as a tool for bioprocess design and optimization
2 references·5 citing·17 second hop
Response surface analysis and simulation as a tool for bioprocess design and optimization (2000)Response surface analysis and simulation …Experimental Design in Biotechnology. (1990)Experimental Design in Biotec…THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)THE DESIGN OF OPTIMUM MULTIFA…Digital Twin Application for Model-Based DoE to Rapidly Identify Ideal Process Conditions for Space-Time Yield Optimization (2021)Digital Twin Application for …Hybrid Modeling and Intensified DoE: An Approach to Accelerate Upstream Process Characterization (2020)Hybrid Modeling and Intensifi…Comparison of Modeling Methods for DoE‐Based Holistic Upstream Process Characterization (2020)Comparison of Modeling Method…ANN and RSM based modelling for optimization of cell dry mass of Bacillus sp. strain B67 and its antifungal activity against Botrytis cinerea (2017)ANN and RSM based modelling f…Design of experiments applications in bioprocessing: Concepts and approach (2013)Design of experiments applica…Design of Experiments (1936)Factorial Sampling Plans for Preliminary Computational Experiments (1991)On the Experimental Attainment of Optimum Conditions (1951)Some New Three Level Designs for the Study of Quantitative Variables (1960)Efficient high‐throughput biological process characterization: Definitive screening design with the Ambr250 bioreactor system (2015)Design of experiments and design space approaches in the pharmaceutical bioprocess optimization (2021)Comparison of artificial neural network (ANN) and response surface methodology (RSM) in fermentation media optimization: Case study of fermentative production of scleroglucan (2008)Design and Analysis of Experiments (2017)Experimental design and optimization (1998)Bioprocess optimization using design‐of‐experiments methodology (2008)One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline (2021)Model-assisted Design of Experiments as a concept for knowledge-based bioprocess development (2019)ANALYZING UNREPLICATED FACTORIAL EXPERIMENTS: A REVIEW WITH SOME NEW PROPOSALS (1998)Application of statistical ‘design of experiments’ methods in drug discovery (2004)Optimizing Drug Delivery Systems Using Systematic "Design of Experiments." Part I: Fundamental Aspects (2005)ASSESSMENT OF DATA COLLECTION TECHNIQUES IN MANUFACTURING AND MECHANICAL ENGINEERING THROUGH MACHINE LEARNING MODELS (2023)Learning and optimization under epistemic uncertainty with Bayesian hybrid models (2023)
this work references cited by second hop

References

  • 1946THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS3,903 cited
  • 1990Experimental Design in Biotechnology.718 cited

Cited by

  • 2013Design of experiments applications in bioprocessing: Concepts and approach126 cited
  • 2020Hybrid Modeling and Intensified DoE: An Approach to Accelerate Upstream Process Characterization60 cited
  • 2017ANN and RSM based modelling for optimization of cell dry mass of Bacillus sp. strain B67 and its antifungal activity against Botrytis cinerea55 cited
  • 2021Digital Twin Application for Model-Based DoE to Rapidly Identify Ideal Process Conditions for Space-Time Yield Optimization51 cited
  • 2020Comparison of Modeling Methods for DoE‐Based Holistic Upstream Process Characterization46 cited

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