of magnitude more parameters than the proposed approach, but we observe an excellent performance of the W-Net architecture: it seems competitive with the compared methods, ranking even higher than61 in terms of Dice score, and higher than60 in terms of MCC, at a fraction of computational cost...
This work proposes a new machine learning (ML)-based paradigm aiming to enhance the computational efficiency of non-equilibrium reacting flow simulations while ensuring compliance with the underlying physics. The framework combines dimensionality reduction and neural operators through a hierarchical and adapt...
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Fisher Scientific. All sales are subject to Thermo Fisher Scientific standard terms and conditions of sale and cannot be combined with any other discount or promotion. This Promotion can only be used once and once a quote has been issued, customer wil...
In monetary terms this estimate indicates that the industry would reach the size of $50 billion between 2029 and 2031 and $100 billion between 2031 and 2044 [78]. With 70% manufacturing share of global trade and 5 out of the top 10 global manufacturers, Asia is embarking on AM mostly ...
Nowadays, the literature does not have a clear nomenclature for integrating previous knowledge of a physical phenomenon with deep learning. ‘Physics-informed,’‘physics-based,’‘physics-guided,’ and ‘theory-guided’ are often some used terms. Kim et al [80] developed the overall taxonomy of...
Many methods have been proposed for dealing with a NER problem, based both on the use of manually specified rules and templates, and on traditional machine-learning approaches. For example, the POSBioTM-NER system [8] provides an automated recognition of biomedical terms by combining support vect...
This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Reprints and ...
From this situated cognition perspective, people perceive their environment in terms of the possibilities for the kinds of actions that they would pursue. These functional features of the environment (affordances) do not solely exist inside an individual’s mind but instead have a physical reality ...
We conduct spatial autoregressive errors regression models (SAR)45 with learning difficulty as the outcome and speaker population size as a covariate. We add two spatially lagged error terms specified by the inverse of each weighting matrix using a generalized spatial two-stage least-squares estimator...