بدائل البحث:
modelling algorithm » modeling algorithm (توسيع البحث), processing algorithm (توسيع البحث)
update algorithm » pass algorithm (توسيع البحث), data algorithms (توسيع البحث), ipca algorithm (توسيع البحث)
movement update » movement data (توسيع البحث)
develop based » developed based (توسيع البحث), develop masld (توسيع البحث), development based (توسيع البحث)
modelling algorithm » modeling algorithm (توسيع البحث), processing algorithm (توسيع البحث)
update algorithm » pass algorithm (توسيع البحث), data algorithms (توسيع البحث), ipca algorithm (توسيع البحث)
movement update » movement data (توسيع البحث)
develop based » developed based (توسيع البحث), develop masld (توسيع البحث), development based (توسيع البحث)
-
1
Evaluation of model aggregation algorithms.
منشور في 2024"…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …"
-
2
Algorithm flowchart of OFEO.
منشور في 2025"…Again, addressing the limitations of traditional Kalman filtering in nonlinear motion trajectory prediction, a novel adaptive forgetting Kalman filter algorithm (FSA) is devised to enhance the precision of model prediction and the effectiveness of parameter updates to adjust to the uncertain movement speed and trajectory of pedestrians in real scenarios. …"
-
3
-
4
-
5
-
6
Ranking of ML algorithms.
منشور في 2025"…The AB model, on the other hand, has the highest error values in the test data set, but still provides an acceptable prediction accuracy. …"
-
7
Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx
منشور في 2025"…Background and aims<p>Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to improve endoscopic SSL diagnosis.…"
-
8
-
9
-
10
-
11
-
12
-
13
Types of machine learning algorithms.
منشور في 2024"…<div><p>Background and objectives</p><p>Child undernutrition is a leading global health concern, especially in low and middle-income developing countries, including Bangladesh. Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.…"
-
14
The overview of the ML algorithms’ flowchart.
منشور في 2025"…The AB model, on the other hand, has the highest error values in the test data set, but still provides an acceptable prediction accuracy. …"
-
15
-
16
-
17
-
18
-
19
-
20