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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
development based » developed based (Expand Search), development stages (Expand Search), development level (Expand Search)
data processing » image processing (Expand Search)
g algorithm » _ algorithm (Expand Search), b algorithm (Expand Search), gnb algorithm (Expand Search)
element g » element _ (Expand Search), elements _ (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
development based » developed based (Expand Search), development stages (Expand Search), development level (Expand Search)
data processing » image processing (Expand Search)
g algorithm » _ algorithm (Expand Search), b algorithm (Expand Search), gnb algorithm (Expand Search)
element g » element _ (Expand Search), elements _ (Expand Search)
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Evaluation of model aggregation algorithms.
Published 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.
Published 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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Schematic diagram of the experimental algorithm.
Published 2025“…Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. …”
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Flowchart of the new algorithm.
Published 2024“…To address these problems, we propose a new, efficient real-time SLR data processing method. This algorithm combines single-stage filtering with a histogram-based approach and incorporates polynomial fitting to establish a predictive model. …”
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Algorithms runtime comparison.
Published 2025“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”
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The process of using the M.E.D.V.I.S. algorithm.
Published 2025“…All are placed into three dimensionality reduction methods, which are then processed in a k-means clustering algorithm with k = 2 to represent good and bad figures. …”
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