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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
network algorithm » new algorithm (Expand Search)
method algorithm » means algorithm (Expand Search), mean algorithm (Expand Search), modbo algorithm (Expand Search)
data processing » image processing (Expand Search)
element » elements (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
network algorithm » new algorithm (Expand Search)
method algorithm » means algorithm (Expand Search), mean algorithm (Expand Search), modbo algorithm (Expand Search)
data processing » image processing (Expand Search)
element » elements (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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Convergence curve of the DBO algorithm.
Published 2025“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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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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