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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
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making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
element network » alignment network (Expand Search)
data processing » image processing (Expand Search)
solved making » solved using (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
network algorithm » new algorithm (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
element network » alignment network (Expand Search)
data processing » image processing (Expand Search)
solved making » solved using (Expand Search)
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Comparison of different optimization algorithms.
Published 2025Subjects: “…crayfish optimization algorithm…”
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Algorithms runtime comparison.
Published 2025“…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”
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Proposed Algorithm.
Published 2025“…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”
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Solution results of different algorithms.
Published 2025“…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”
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Training process of HFKG-RFE algorithm.
Published 2025“…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”
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The run time for each algorithm in seconds.
Published 2025“…These methods are tested on both real and synthetic data, with the former taken from a network of air quality monitoring stations across California. …”
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Deep attention network architecture for arrhythmia classification.
Published 2025Subjects: “…crayfish optimization algorithm…”
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Comparison of algorithm performance aesults.
Published 2025“…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”
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Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4
Published 2025“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. …”