High cycle fatigue characterisation and modelling of 316L stainless steel processed by laser powder bed fusion by Zhang, Meng

“…Lastly, considering the numerous influencing factors arising from the process and the associated failure behaviours, a neuro-fuzzy-based machine learning method was applied to provide an effective unifying approach for high cycle fatigue life prediction. …”
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Topics in Bayesian machine learning for finance by Spears, T

“…Further, we estimate an approximation to epistemic uncertainty via a pseudo-Bayesian deep learning method. This work demonstrates the utility of the model output for deciding the relative allocation of risk capital across trades. …”

Learning-enabled decision-making for autonomous driving: framework and methodology by Huang, Zhiyu

“…The personalized cost learning method outperforms general cost modeling methods, leading to a more human-like driving experience. …”
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Conflict-free urban air mobility planning with an airspace-resource-centric approach by Dai, Wei

“…Motivated by the absence of a precise power consumption model that can be applied to multiple eVTOL aircraft types, we use the ensemble learning method to model the power consumption of eVTOL aircraft. …”
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Geometry guided supervised representation learning for classification by Li, Yue

“…However, the AE-based representation learning method, FAE-LG, is trained iteratively by using back-propagation (BP) that requires a significant amount of training time. …”
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Structured sparse representations for supervised and unsupervised learning by Zeng, Yijie

“…It is demonstrated that the proposed graph learning method, termed Adaptive Locality-constrained Clustering (ALC), generates more structured graph compared with predefined ones and provides better clustering performance on benchmark datasets. …”
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