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Three illustrative well-known benchmark modelling problems serve the purpose of demonstrating the performance of the generated models.
The generated models enable various design automation tasks, including exploration, simulation, compilation, synthesis, test generation, and validation.
The generated models were further refined with extensive MD simulations.
The generated models are predictive based on reproducible values of the predicted compared with experimental activities.
The results of bootstrapping analyses also confirmed that the generated models are robust and reliable.
The generated models were further tested by use of an external prediction set of 15 molecules.
The generated models correspond to mixed integer nonlinear programming and nonlinear programming problems.
The generated models were able to characterize the adsorption process using composite adsorbent in the ECPS column system.
It even allows to reuse large parts of the generated models for similar manufacturing utilities and various target technologies.
The generated models are predictive based on reproducible values of the predicted compared with experimental activities in the test set.
The generated models shows excellent correlation coefficients such as R2 = 0.95 for flow workability and R2 = 0.98 for compressive strength.
More suggestions(14)
the generated modelling
the integrated models
the generated solutions
the generated antibodies
the generated policies
the generated networks
the generated results
the generated sounds
the generated sequences
the generated movies
the generated plasmids
the generated fragments
the generated files
the generated gaps
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com