Comparison of different optimization algorithms. by Hang Zhao (143592)

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ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Pareto optimal front result of MOCOA. by Hang Zhao (143592)

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Confusion matrix. by Hang Zhao (143592)

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Different patterns of electrocardio signals with Gaussian noise. by Hang Zhao (143592)

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Sensitivity analysis of parameter K and in VMD. by Hang Zhao (143592)

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Summary of key parameters and performance indices of VMD. by Hang Zhao (143592)

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Action potential of sample points in model 1. by Hang Zhao (143592)

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Performance validation on the MIT-BIH database. by Hang Zhao (143592)

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Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

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Comparison of original VMD and MOCOA-VMD results. by Hang Zhao (143592)

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Performance comparison with other papers. by Hang Zhao (143592)

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Action potential of sample points in model 2. by Hang Zhao (143592)

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Kurtograms of different signals. by Hang Zhao (143592)

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Model establishment of the human heart. by Hang Zhao (143592)

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Comparison of ablation study. The deep model which consists of MOCOA-VMD and attention scheme achieves the best accuracy. by Hang Zhao (143592)

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Action potential of sample points in model 0. by Hang Zhao (143592)

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Deep attention network architecture for arrhythmia classification. by Hang Zhao (143592)

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Bayesian optimization results of key hyperparameters. by Hang Zhao (143592)

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Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction by Mohamad A. Raja (19640297)

“…To preform accurate forecasts on energy storage, a data-driven machine learning approach based on artificial neural networks (ANN) was optimized via a Bayesian optimization algorithm to predict the structural battery’s future capacity. …”