Search alternatives:
mesh algorithm » best algorithm (Expand Search), mean algorithm (Expand Search), means algorithm (Expand Search)
complement 5a » complement _ (Expand Search), complement low (Expand Search)
level finding » novel findings (Expand Search), review finding (Expand Search), level coding (Expand Search)
element mesh » element method (Expand Search), elements mges (Expand Search), element te (Expand Search)
5a algorithm » coa algorithm (Expand Search), sac algorithm (Expand Search), _ algorithm (Expand Search)
mesh algorithm » best algorithm (Expand Search), mean algorithm (Expand Search), means algorithm (Expand Search)
complement 5a » complement _ (Expand Search), complement low (Expand Search)
level finding » novel findings (Expand Search), review finding (Expand Search), level coding (Expand Search)
element mesh » element method (Expand Search), elements mges (Expand Search), element te (Expand Search)
5a algorithm » coa algorithm (Expand Search), sac algorithm (Expand Search), _ algorithm (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
Multi-material topology optimization using scaled boundary finite element method
Published 2025“…SBFEM is implemented and its performance is tested across different density interpolation-based MMTO methods: the Alternating Active-Phase (AAP) algorithm, SIMP with mapping based interpolation, and polygonal mesh based MMTO, PolyMat which uses Discrete Material Optimization (DMO) combined with Zhang–Paulino–Ramos (ZPR) update scheme. …”
-
8
-
9
-
10
-
11
Idealised rat uterine meshes
Published 2025“…The meshes were generated with different element resolutions. …”
-
12
-
13
-
14
-
15
-
16
-
17
Data Sheet 1_Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs.pdf
Published 2025“…</p>Results<p>In the internal validation, the Lung Abnormality and Tuberculosis models achieved an AUC of 0.94, while the Radiological Findings model yielded a mean AUC of 0.84. During the external validation, utilizing the ground truth generated by board-certified thoracic radiologists, the algorithm achieved better sensitivity in 6 out of 11 classes than physicians with varying experience levels. …”
-
18
-
19
-
20