Wearable Internet of Things (IoT) devices, such as VR/XR head-mounted displays, enable immersive interaction with complex data that is commonly organized in a tabular format. However, precisely and efficiently selecting tabular data in immersive environments is challenging due to input instability and spatial tracking...
Bo-Yang Feng, Guo-Zheng Li, Yun-Qi He et al.· ACM Transactions on Internet...· 0 citations
This study links macroscopic wear quantification with microscopic morphological reconstruction and provides a data-driven basis for EMU wheelset maintenance decision-making and shows that historical wear-rate features provide important degradation-gradient information that improves prediction stability for the top 15%...
Yanjie Cui, Wei-Jiao Zhang, Zhongkai Wang et al.· IEEE Access· 0 citations
Results indicate that the proposed framework can provide field anomaly-warning and severity-oriented interpretation under weak-label monitoring conditions, however, it should not be interpreted as a replacement for disassembly-confirmed fault-type diagnosis or remaining useful life prediction.
Qi Wu, Xiao-Min Zhu, Zhikai Jia et al.· Italian National Conference...· 0 citations
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