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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
learning algorithm » learning algorithms (Expand Search)
data processing » image processing (Expand Search)
solved learning » novel learning (Expand Search), involve learning (Expand Search), applied learning (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
learning algorithm » learning algorithms (Expand Search)
data processing » image processing (Expand Search)
solved learning » novel learning (Expand Search), involve learning (Expand Search), applied learning (Expand Search)
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Comparison of different optimization algorithms.
Published 2025Subjects: “…crayfish optimization algorithm…”
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Training process of HFKG-RFE algorithm.
Published 2025“…Therefore, An Algorithm for Heterogeneous Federated Knowledge Graph (HFKG) is proposed to solve this problem by limiting model drift through comparative learning. …”
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Proposed Algorithm.
Published 2025“…EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”
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The run time for each algorithm in seconds.
Published 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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