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While the final features used for the model required only 4 GB, both feature creation and generating the top performing model takes around 48 h.
In a purely comparative context, a Gray Wolf mandible model required only ∼300,000 elements to produce reaction forces and strain energy values close to those obtained from higher-resolution models (>1,400,000 elements).
The model required only a limited number of parameters.
The kNN model required only five features to predict morbidity in ICU patients after heart surgery.
The resulting scanning model required only minor adjustments to the M domain to fit the respective density (e.g., Figure 6).
Since there was no evidence of pulmonary sequestration in any of these 8 older subjects, the PBPK model required only one adjustable parameter (Tclr).
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The Exp-ARX model requires only offline identification.
The Exp-ARX model requires only off-line identification.
The model requires only pure component and binary temperature-dependent interaction parameters.
A sensitivity model requiring only two straightforward preliminary measurements to determine the parameters is presented.
A high-spatial-resolution HRTF prediction based on the tensor model requires only one regression.
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