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Data prevalence affected both model accuracy and the assessment of species' response, with a stronger influence on the latter.
In this work, simple validation metrics applicable to testing both model accuracy and consistency with experimental data are developed.
In the proposed modeling a tradeoff between these two factors are made and some solutions are employed to increase both model accuracy and speed.
Then, the learned model can be effectively implemented on a mobile and resource-limited device: the experiments, carried out on a current-generation smartphone, show the benefits of the proposed approach in terms of both model accuracy and battery duration.
We also extend their study by (1) including additional experimental data for benchmarking, (2) testing multiple codes for multiple benchmarks, (3) evaluating both model accuracy and CPU efficiency, and (4) interpreting experimentally based benchmarking results in the context of natural lava flows.
Effective use of such sampling techniques in molecular dynamics studies could allow for the generation of accurate MSMs from a minimal set of short trajectories, enhancing both model accuracy and sampling efficiency.
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This improves model accuracy and robustness simultaneously.
Those individuals could reduce model accuracy and limit model utility.
Each architecture uses different primitive elements descriptions, which directly affect the model accuracy and speed.
The CTMC assumption strikes a good tradeoff between model accuracy and the facility of theoretical analysis.
For the remaining runs, the best combination of high model accuracy and efficiency was sought.
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