Search alternatives:
policy optimization » topology optimization (Expand Search), wolf optimization (Expand Search), process optimization (Expand Search)
self optimization » wolf optimization (Expand Search), field optimization (Expand Search), lead optimization (Expand Search)
final layer » single layer (Expand Search)
layer self » lower self (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
a policy » _ policy (Expand Search)
policy optimization » topology optimization (Expand Search), wolf optimization (Expand Search), process optimization (Expand Search)
self optimization » wolf optimization (Expand Search), field optimization (Expand Search), lead optimization (Expand Search)
final layer » single layer (Expand Search)
layer self » lower self (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
a policy » _ policy (Expand Search)
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Proposed Algorithm.
Published 2025“…This paper considers a wireless-powered MEC network employing a binary offloading policy, in which the computation tasks of MDs are either executed locally or fully offloaded to an edge server (ES). …”
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Self-attention module for the features learning.
Published 2025“…The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. The trained model is employed in the testing phase for the feature extraction from the self-attention layer and passed to the shallow wide neural network classifier for the final classification. …”
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Comparisons between ADAM and NADAM optimizers.
Published 2025“…This paper considers a wireless-powered MEC network employing a binary offloading policy, in which the computation tasks of MDs are either executed locally or fully offloaded to an edge server (ES). …”
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