Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
network algorithm » new algorithm (Expand Search)
data processing » image processing (Expand Search)
mesh algorithm » best algorithm (Expand Search), mean algorithm (Expand Search), means algorithm (Expand Search)
element mesh » element method (Expand Search), elements mges (Expand Search), element te (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
network algorithm » new algorithm (Expand Search)
data processing » image processing (Expand Search)
mesh algorithm » best algorithm (Expand Search), mean algorithm (Expand Search), means algorithm (Expand Search)
element mesh » element method (Expand Search), elements mges (Expand Search), element te (Expand Search)
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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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Automatic generation of mesh diagrams.
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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Solution results of different algorithms.
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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Modeling approach and network generating algorithm.
Published 2025“…<p><b>(A)</b> Overview of network generating algorithm, based on a growth process with preferential attachment. …”
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Evaluation of model aggregation algorithms.
Published 2024“…Finally, the paper designs a deep learning model based on two-dimensional convolutional neural networks and bidirectional gated recurrent units (2DCNN-BIGRU) to handle incomplete data features and missing labels in network traffic data. …”
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Comparison of homomorphic encryption algorithms.
Published 2024“…Finally, the paper designs a deep learning model based on two-dimensional convolutional neural networks and bidirectional gated recurrent units (2DCNN-BIGRU) to handle incomplete data features and missing labels in network traffic data. …”
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