Optimal experimental design for practical identification of unstructured growth models

Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature: From in silico to in vivo

Food Research International ◽

10.1016/j.foodres.2016.08.001 ◽

2016 ◽

Vol 89 ◽

pp. 689-700 ◽

Cited By ~ 7

Author(s):

I. Stamati ◽

S. Akkermans ◽

F. Logist ◽

E. Noriega ◽

J. Van Impe

Keyword(s):

Experimental Design ◽

In Silico ◽

Microbial Growth ◽

Growth Models ◽

Suboptimal Temperature

KL-optimal experimental design for discriminating between two growth models applied to a beef farm

Mathematical Biosciences and Engineering ◽

10.3934/mbe.2016.13.67 ◽

2016 ◽

Vol 13 (1) ◽

pp. 67-82 ◽

Author(s):

Santiago Campos-Barreiro ◽

◽

Jesús López-Fidalgo

Keyword(s):

Experimental Design ◽

Growth Models ◽

Beef Farm

Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature

Mathematical Biosciences ◽

10.1016/j.mbs.2014.01.006 ◽

2014 ◽

Vol 250 ◽

pp. 69-80 ◽

Author(s):

I. Stamati ◽

F. Logist ◽

E. Van Derlinden ◽

J.-P. Gauchi ◽

J. Van Impe

Keyword(s):

Experimental Design ◽

Microbial Growth ◽

Growth Models ◽

Suboptimal Temperature

Optimal experimental design for parameter estimation in unstructured growth models

Biotechnology Progress ◽

10.1021/bp00029a005 ◽

1994 ◽

Vol 10 (5) ◽

pp. 480-488 ◽

Cited By ~ 88

Author(s):

M. Baltes ◽

R. Schneider ◽

C. Sturm ◽

M. Reuss

Keyword(s):

Parameter Estimation ◽

Experimental Design ◽

Growth Models ◽

Optimal Experimental Design

Supplemental Material for Evidence Evaluation: Measure Z Corresponds to Human Utility Judgments Better Than Measure L and Optimal-Experimental-Design Models

Journal of Experimental Psychology Learning Memory and Cognition ◽

10.1037/a0035549.supp ◽

2014 ◽

Keyword(s):

Experimental Design ◽

Design Models ◽

Evidence Evaluation ◽

Evaluation Measure ◽

Better Than

Adaptive optimal experimental design for model discrimination

PsycEXTRA Dataset ◽

10.1037/e520592012-108 ◽

2010 ◽

Author(s):

Jay I. Myung ◽

Daniel R. Cavagnaro ◽

Mark A. Pitt

Keyword(s):

Experimental Design ◽

Model Discrimination

Optimal Experimental Design for Model Discrimination

PsycEXTRA Dataset ◽

10.1037/e527312012-124 ◽

2008 ◽

Author(s):

Jay I. Myung ◽

Mark A. Pitt

Keyword(s):

Experimental Design ◽

Model Discrimination

Optimal experimental design in canonical expansions with applications to signal compression

2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ◽

10.1109/globalsip.2016.7905810 ◽

2016 ◽

Author(s):

Roozbeh Dehghannasiri ◽

Xiaoning Qian ◽

Edward R. Dougherty

Keyword(s):

Experimental Design ◽

Signal Compression

Optimal experimental design with fast neural network surrogate models

Computational Materials Science ◽

10.1016/j.commatsci.2021.110747 ◽

2021 ◽

Vol 200 ◽

pp. 110747

Author(s):

Joshua Stuckner ◽

Matthew Piekenbrock ◽

Steven M. Arnold ◽

Trenton M. Ricks

Keyword(s):

Neural Network ◽

Experimental Design ◽

Surrogate Models ◽

Optimal Experimental Design

Population based optimal experimental design in cancer diagnosis and chemotherapy: In silico analysis

Journal of Process Control ◽

10.1016/j.jprocont.2012.12.009 ◽

2013 ◽

Vol 23 (4) ◽

pp. 561-569 ◽

Author(s):

Kanchi Lakshmi Kiran ◽

Lakshminarayanan Samavedham

Keyword(s):

Experimental Design ◽

Cancer Diagnosis ◽

In Silico ◽

In Silico Analysis ◽

Population Based ◽

Silico Analysis