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experiments based » experiments showed (Expand Search), experimental basis (Expand Search), experimental case (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
complement em » complement _ (Expand Search), complement 5a (Expand Search), complement c3 (Expand Search)
em algorithm » new algorithm (Expand Search), _ algorithm (Expand Search), ii algorithm (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
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Ablation experiment verification results.
Published 2024“…This algorithm is based on YOLOv8s. First, it introduces the C2f-SCconv convolution module, which is based on SCconv convolution. …”
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Algorithm detection performance.
Published 2024“…Finally, the performance of the improved YOLOv5 algorithm is validated through ablation experiments and comparative experiments with other defect detection algorithms, including the Small_obj algorithm the existing method of adding a small target detection head for identifying small target defects. …”
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Improved DAE based on LSTM.
Published 2025“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”
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The control result in Experiment 6.
Published 2024“…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …”
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The control results in Experiment 1.
Published 2024“…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …”
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The control result in Experiment 5.
Published 2024“…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …”
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The control results in Experiment 2.
Published 2024“…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …”
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The control results in Experiment 3.
Published 2024“…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …”
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Reward outcomes for each combination of task cue and policy in the experiment.
Published 2025Subjects: -
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Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"
Published 2024“…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”
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