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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
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cell function » renal function (Expand Search)
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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
function algorithm » fusion algorithm (Expand Search), detection algorithm (Expand Search), selection algorithm (Expand Search)
time processing » image processing (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
cell function » renal function (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
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Completion times for different algorithms.
Published 2025“…In the context of intelligent manufacturing, there is still significant potential for improving the productivity of riveting and welding tasks in existing H-beam riveting and welding work cells. In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”
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The actual training effect of four algorithms on original photo data (All images are original images taken by the author).
Published 2025Subjects: “…Cell Biology…”
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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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The average cumulative reward of algorithms.
Published 2025“…In the context of intelligent manufacturing, there is still significant potential for improving the productivity of riveting and welding tasks in existing H-beam riveting and welding work cells. In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”
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Simulation settings of rMAPPO algorithm.
Published 2025“…In the context of intelligent manufacturing, there is still significant potential for improving the productivity of riveting and welding tasks in existing H-beam riveting and welding work cells. In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”
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Change of ITAE objective function for en-CSA, CSA, RUN, PDO and RIME algorithms.
Published 2024Subjects: -
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ITAE objective function values for all runs of en-CSA, CSA, RUN, PDO and RIME algorithms.
Published 2024Subjects: -
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Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms.
Published 2024Subjects: -
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