LAUSR

Advancing Raman model calibration for perfusion bioprocesses using spiked harvest libraries

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1 Published in 2022 at "Biotechnology Journal"

DOI: 10.1002/biot.202200184

Abstract: Raman spectroscopy has gained popularity to monitor multiple process indicators simultaneously in biopharmaceutical processes. However, robust and specific model calibration remains a challenge due to insufficient analyte variability to train the models and high cross‐correlation… read more here.

Keywords: advancing raman; calibration perfusion; model calibration; model ... See more keywords

Multi-resolution Grid Connectivity-Based Reparameterization for Effective Subsurface Model Calibration

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0 Published in 2019 at "Transport in Porous Media"

DOI: 10.1007/s11242-019-01281-3

Abstract: AbstractLow-rank representation of reservoir property fields has evolved over the years and offered significant benefits for robust subsurface model calibration problems. In particular, the grid connectivity-based (GCT) parameterization techniques provide a framework for efficient updates… read more here.

Keywords: resolution; subsurface model; model calibration; model ... See more keywords

Microrespirometric model calibration applied to wastewater processes

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0 Published in 2017 at "Biochemical Engineering Journal"

DOI: 10.1016/j.bej.2017.10.002

Abstract: Abstract Microrespirometry is a recently developed method that combines classical respirometry and microreactor systems, for the characterization of microbial cultures. This method, which allows multiple simultaneous replicates from a single low-volume biomass sample, can improve… read more here.

Keywords: model calibration; microrespirometric model; calibration applied; wastewater ... See more keywords

Efficient global sensitivity-based model calibration of a high-shear wet granulation process

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0 Published in 2021 at "Chemical Engineering Science"

DOI: 10.1016/j.ces.2021.116569

Abstract: Abstract Model-driven design requires a well-calibrated model and therefore needs efficient workflows to achieve this. This efficiency can be achieved with the identification of the critical process parameters (CPPs) and the most impactful modelling parameters… read more here.

Keywords: model calibration; process; model; wet granulation ... See more keywords

Surrogate based model calibration for pressurized water reactor physics calculations

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0 Published in 2017 at "Nuclear Engineering and Technology"

DOI: 10.1016/j.net.2017.08.007

Abstract: Abstract In this work, a scalable algorithm for model calibration in nuclear engineering applications is presented and tested. The algorithm relies on the construction of surrogate models to replace the original model within the region… read more here.

Keywords: model calibration; surrogate based; physics; model ... See more keywords

Calibrate: Interactive Analysis of Probabilistic Model Output

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1 Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2022.3209489

Abstract: Analyzing classification model performance is a crucial task for machine learning practitioners. While practitioners often use count-based metrics derived from confusion matrices, like accuracy, many applications, such as weather prediction, sports betting, or patient risk… read more here.

Keywords: calibrate interactive; interactive analysis; model; model calibration ... See more keywords

Transient Recharge Estimability Through Field-Scale Groundwater Model Calibration.

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0 Published in 2017 at "Ground water"

DOI: 10.1111/gwat.12526

Abstract: The estimation of recharge through groundwater model calibration is hampered by the nonuniqueness of recharge and aquifer parameter values. It has been shown recently that the estimability of spatially distributed recharge through calibration of steady-state… read more here.

Keywords: groundwater model; model calibration; calibration; recharge ... See more keywords

Improved Hydrological Simulation Using SMAP Data: Relative Impacts of Model Calibration and Data Assimilation.

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0 Published in 2018 at "Journal of hydrometeorology"

DOI: 10.1175/jhm-d-17-0228.1

Abstract: The assimilation of remotely sensed soil moisture information into a land surface model has been shown in past studies to contribute accuracy to the simulated hydrological variables. Remotely sensed data, however, can also be used… read more here.

Keywords: assimilation; model; model calibration; soil moisture ... See more keywords

Effect of Observation Errors on the Timing of the Most Informative Isotope Samples for Event-Based Model Calibration

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1 Published in 2017 at "Hydrology"

DOI: 10.3390/hydrology5010004

Abstract: Many studies have shown that isotope data are valuable for hydrological model calibration. Recent developments have made isotope analyses more accessible but event sampling still involves significant time and financial costs. Therefore, it is worth… read more here.

Keywords: event; isotope samples; model calibration; calibration ... See more keywords

“What’s Past Is Prologue”: Vegetation Model Calibration with and without Future Climate

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2 Published in 2023 at "Land"

DOI: 10.3390/land12061121

Abstract: Many models are designed to generate future predictions under climate-change scenarios. Such models are typically calibrated for a study area with climate data that represent historical conditions. However, future projections of the model may include… read more here.

Keywords: climate; model calibration; model; vegetation model ... See more keywords