Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
during algorithm » routing algorithm (Expand Search), making algorithm (Expand Search), mining algorithm (Expand Search)
data processing » image processing (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
applied during » applied using (Expand Search), sampled during (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
during algorithm » routing algorithm (Expand Search), making algorithm (Expand Search), mining algorithm (Expand Search)
data processing » image processing (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
applied during » applied using (Expand Search), sampled during (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
-
1
Comparison of different optimization algorithms.
Published 2025Subjects: “…crayfish optimization algorithm…”
-
2
-
3
The run time for each algorithm in seconds.
Published 2025“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
-
4
DataSheet1_Applying neural network algorithms to ascertain reported experiences of violence in routine mental healthcare records and distributions of reports by diagnosis.pdf
Published 2025“…Introduction<p>Experiences of violence are important risk factors for worse outcome in people with mental health conditions; however, they are not routinely collected be mental health services, so their ascertainment depends on extraction from text fields with natural language processing (NLP) algorithms.</p>Methods<p>Applying previously developed neural network algorithms to routine mental healthcare records, we sought to describe the distribution of recorded violence victimisation by demographic and diagnostic characteristics. …”
-
5
Schematic diagram of the experimental algorithm.
Published 2025“…Second, the egg carrier structure is designed, the material properties are analysed, and key parameters such as deformation are simulated by SolidWorks and Ansys Workbench. Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. …”
-
6
Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms
Published 2025“…It also shows the value of applying geo-spatial domain knowledge during the process of feature selection. …”
-
7
-
8
-
9
Schematic illustration of the study periods and algorithms applied during the COVID-RED study.
Published 2025“…<p>Schematic illustration of the study periods and algorithms applied during the COVID-RED study.</p>…”
-
10
-
11
Flow chart of the EDR estimation algorithm.
Published 2025“…The corresponding formulas are then applied to obtain three-dimensional wind data information. …”
-
12
-
13
-
14
-
15
-
16
Processed data for figures.
Published 2025“…As 3D printing becomes increasingly prevalent in the manufacturing of industrial components, its advantages in accommodating complex geometries and reducing material waste are attracting significant attention. Acquiring and applying precise elastic properties of materials during structural design is crucial for ensuring part safety and consistency. …”
-
17
Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. …”
-
18
-
19
-
20
Table1_Updating assembly parameters for spacecraft assembly process state changes: based on data fusion method.docx
Published 2024“…Therefore, to obtain assembly parameters accurately and efficiently under different assembly states, in this study, 3D point cloud data and fiber optic sensor data were fused to develop an assembly parameter update method for assembly process state changes. …”