بدائل البحث:
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
update algorithm » pass algorithm (توسيع البحث), data algorithms (توسيع البحث), ipca algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
data processing » image processing (توسيع البحث)
based update » based data (توسيع البحث)
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
update algorithm » pass algorithm (توسيع البحث), data algorithms (توسيع البحث), ipca algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
data processing » image processing (توسيع البحث)
based update » based data (توسيع البحث)
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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. …"
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Comparison of homomorphic encryption 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. …"
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Table1_Updating assembly parameters for spacecraft assembly process state changes: based on data fusion method.docx
منشور في 2024"…Therefore, to obtain assembly parameters accurately and efficiently under different assembly states, in this study, 3D point cloud data and fiber optic sensor data were fused to develop an assembly parameter update method for assembly process state changes. …"
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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. …"
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Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms.
منشور في 2025"…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.</p><p dir="ltr"><b><u>Sensitivity Analysis</u></b></p><p dir="ltr"><b>cargas25_50_75_AS:</b> contains the pre processed updated dataset of pharmaceuticals sales data for the 3 scenarium conditions.…"
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R project including metadata update.
منشور في 2025"…These problems appear to stem from both algorithmic limitations and deficiencies in submission and post-submission processes. …"
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