بدائل البحث:
using algorithms » pacing algorithms (توسيع البحث), nine algorithms (توسيع البحث), sorting algorithms (توسيع البحث)
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
elements using » elements during (توسيع البحث), movements using (توسيع البحث), events using (توسيع البحث)
using algorithms » pacing algorithms (توسيع البحث), nine algorithms (توسيع البحث), sorting algorithms (توسيع البحث)
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
elements using » elements during (توسيع البحث), movements using (توسيع البحث), events using (توسيع البحث)
-
1
-
2
-
3
The proportion of triples in each client.
منشور في 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. …"
-
4
-
5
-
6
-
7
-
8
-
9
-
10
-
11
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. …"
-
12
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. …"
-
13
-
14
-
15
-
16
-
17
Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"
منشور في 2024"…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…"
-
18
-
19
-
20