Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
data processing » image processing (Expand Search)
solved making » solved using (Expand Search)
element » elements (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
data processing » image processing (Expand Search)
solved making » solved using (Expand Search)
element » elements (Expand Search)
-
1
Algorithms runtime comparison.
Published 2025“…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”
-
2
Proposed Algorithm.
Published 2025“…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”
-
3
Solution results of different algorithms.
Published 2025“…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”
-
4
-
5
Training process of HFKG-RFE algorithm.
Published 2025“…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”
-
6
-
7
-
8
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. …”
-
9
-
10
-
11
-
12
-
13
-
14
-
15
-
16
Comparison of algorithm performance aesults.
Published 2025“…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”
-
17
-
18
-
19
-
20