Search alternatives:
implement learning » implicit learning (Expand Search)
learning algorithm » learning algorithms (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
ii algorithm » _ algorithm (Expand Search), _ algorithms (Expand Search)
element ii » element _ (Expand Search), element g (Expand Search), element te (Expand Search)
implement learning » implicit learning (Expand Search)
learning algorithm » learning algorithms (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
ii algorithm » _ algorithm (Expand Search), _ algorithms (Expand Search)
element ii » element _ (Expand Search), element g (Expand Search), element te (Expand Search)
-
1
Comparison of different optimization algorithms.
Published 2025Subjects: “…crayfish optimization algorithm…”
-
2
-
3
-
4
-
5
-
6
-
7
-
8
-
9
Element model generation method with geometric distribution errors
Published 2025“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”
-
10
Data for Figs 3–9.
Published 2024“…In addition, the genetic algorithm is used to quickly achieve the broadband absorption for the two-layer case. …”
-
11
Data Sheet 1_Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model.docx
Published 2025“…Considering the increased detection range of EDARM and the requirements for computational efficiency, this paper presents a 2.5-dimensional (2.5D) finite element method (FEM). …”
-
12
-
13
Table 2_In Vitro biomechanical study of meniscal properties in patients with severe knee osteoarthritis.xlsx
Published 2025“…Tensile (n = 113) and compressive (n = 137) tests were performed to obtain experimental data. An iFEA model with a Mooney–Rivlin hyperelastic formulation was developed to estimate the constitutive parameters of the meniscus through optimization algorithms.…”
-
14
-
15
-
16
Action potential of sample points in model 2.
Published 2025Subjects: “…crayfish optimization algorithm…”
-
17
Types of machine learning algorithms.
Published 2024“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …”
-
18
Flowchart of the study.
Published 2025“…In this paper, two dynamic clustering algorithms are proposed. …”
-
19
Channel capacity of MIMO system with variable .
Published 2025“…In this paper, two dynamic clustering algorithms are proposed. …”
-
20