Search alternatives:
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
models algorithm » modeling algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
first algorithm » forest algorithm (Expand Search), forest algorithms (Expand Search), best algorithm (Expand Search)
data first » data fit (Expand Search), data figs (Expand Search)
element » elements (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
models algorithm » modeling algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
first algorithm » forest algorithm (Expand Search), forest algorithms (Expand Search), best algorithm (Expand Search)
data first » data fit (Expand Search), data figs (Expand Search)
element » elements (Expand Search)
-
1
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. …”
-
2
-
3
Algorithmic experimental parameter design.
Published 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.
Published 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
Raw performance data for the first algorithm shown in Fig 9.
Published 2025“…<p>Raw performance data for the first algorithm shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0328223#pone.0328223.g009" target="_blank">Fig 9</a>.…”
-
6
-
7
Comparison of the EODA algorithm with existing algorithms in terms of recall.
Published 2025Subjects: -
8
Comparison of the EODA algorithm with existing algorithms in terms of precision.
Published 2025Subjects: -
9
-
10
-
11
Comparison of the EODA algorithm with existing algorithms in terms of F1-Score.
Published 2025Subjects: -
12
-
13
-
14
-
15
-
16
-
17
-
18
-
19
Performance analysis of the methods for the models created in the first stage.
Published 2025Subjects: -
20