Publications by authors named "Yuanhang Qi"

As the capacity of individual offshore wind turbines increases, prolonged downtime (due to maintenance or faults) will result in significant economic losses. This necessitates enhancing the efficiency of vessel operation and maintenance (O&M) to reduce O&M costs. Existing research mostly focuses on planning O&M schemes for individual vessels.

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In humanitarian aid scenarios, the model of cumulative capacitated vehicle routing problem can be used in vehicle scheduling, aiming at delivering materials to recipients as quickly as possible, thus minimizing their wait time. Traditional approaches focus on this metric, but practical implementations must also consider factors such as driver labor intensity and the capacity for on-site decision-making. To evaluate driver workload, the operation times of relief vehicles are typically used, and multi-objective modeling is employed to facilitate on-site decision-making.

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Article Synopsis
  • The text discusses the rise of Industrial Internet of Things (IIoT) devices and the importance of Digital Twins (DTs) in simulating physical systems while highlighting security and data privacy concerns related to these technologies.
  • It introduces a new Semi-supervised Federated Learning (SSFL) framework called SSFL-MBE, which aims to address the challenge of limited labeled data by using pseudo-labels.
  • The SSFL-MBE algorithm combines data augmentation techniques and Bayesian estimation to improve model performance, demonstrating significant enhancements in tests on the CIFAR-10 and MNIST datasets compared to existing baseline models.
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