Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data processing » image processing (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data processing » image processing (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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The weight optimization process.
Published 2025“…However, the training data of this model comes from the simulation environment, which may deviate from the real game data. …”
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Evaluation of model aggregation algorithms.
Published 2024“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”
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Comparison of homomorphic encryption algorithms.
Published 2024“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”
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Schematic diagram of chromosome coding.
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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Processing time for the different pipeline steps.
Published 2025“…<p>Application of the TiB algorithm is very quick even if the resampling of the acceleration data is taken into account. …”
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Code and data for <i>Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms</i>
Published 2024“…<p dir="ltr">Data and code for easy reproducibility of results described in the paper <i>Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms</i><i>, </i>published on the IEEE TrustCom-2024 (23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications).…”
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