بدائل البحث:
modeling algorithm » making algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
solved learning » novel learning (توسيع البحث), involve learning (توسيع البحث), applied learning (توسيع البحث)
data modeling » data modelling (توسيع البحث), data models (توسيع البحث)
element » elements (توسيع البحث)
modeling algorithm » making algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
solved learning » novel learning (توسيع البحث), involve learning (توسيع البحث), applied learning (توسيع البحث)
data modeling » data modelling (توسيع البحث), data models (توسيع البحث)
element » elements (توسيع البحث)
-
1
-
2
-
3
Algorithmic experimental parameter design.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
-
4
Spatial spectrum estimation for three algorithms.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
-
5
-
6
-
7
-
8
Scatter diagram of different principal elements.
منشور في 2025"…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …"
-
9
-
10
-
11
Flowchart of the RIR algorithm.
منشور في 2024"…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"
-
12
-
13
-
14
-
15
Element model generation method with geometric distribution errors
منشور في 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. …"
-
16
The run time for each algorithm in seconds.
منشور في 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. …"
-
17
-
18
Comparison of algorithm performance aesults.
منشور في 2025"…Therefore, An Algorithm for Heterogeneous Federated Knowledge Graph (HFKG) is proposed to solve this problem by limiting model drift through comparative learning. …"
-
19
-
20