In recent years, the number of books available for learning about causal inference and impact evaluation has increased. Concepts and methods for more accurately understanding the effects of ...
The aim of this study was to evaluate an integrated fluorine‐18 fluorodeoxyglucose positron emission tomography/magnetic resonance imaging (PET/MRI) model combining conventional and radiomic features ...
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State-of-the-art machine learning methods for constitutive modeling typically require many tensorial stress–strain pairs, which can be challenging to acquire. Noncontact model identification ...
Laboratory for Molecular Modeling and Drug Design (LabMol), Faculty of Pharmacy, Universidade Federal de Goiás, Goiânia, GO 74690-900, Brazil Center for Excellence in Artificial Intelligence (CEIA), ...
ACCESS-ESM1-5 MOM5/CICE4 WOMBAT Fully Coupled/1850-2014 Ziehn et al. (2020) Additional information for each model may be found in the references cited herein. The full five-cycle simulations for OMIP1 ...
aDepartment of Neonatology, University Medical Centre Utrecht, Utrecht, Netherlands bPsychosocial Department, University Medical Centre Utrecht, Utrecht, Netherlands cChild Development and Exercise ...
Persistent homology (PH) is a robust method to compute multi-dimensional geometric and topological features of a dataset. Because these features are often stable under certain perturbations of the ...
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