Pan He

Improved Variational Mode Extraction and Its Application in Rolling Bearing Feature Extraction

Nuo Li, Taibo Yang, Zhiyong Duan, Zhang Tong-jian et autres

Variational Mode Extraction (VME) introduces a new criterion based on Variational Mode Decomposition (VMD): the residual signal after extracting a specific mode should have minimal or no energy at that mode’s center frequency. This allows VME to effectively extract modes near the …

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FlexiPlasma Microcatheter–Embolic Material (FPM‐EM) Platform: A Non‐Inflammatory Pyroptosis Strategy for Precision Hepatocellular Carcinoma Therapy

Changhong Li, Hongwei Cheng, Ziqi Zhuang, Fei Cao et autres

Hepatocellular carcinoma (HCC) remains a global challenge, with conventional locoregional therapies like transarterial chemoembolization (TACE) lacking tumor specificity and promoting metastasis and inflammation. Cold atmospheric plasma (CAP) offers a tumor-selective ablation strategy but suffers from limited tissue penetration. To overcome this, the …

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Improving fault localization with semantic enhancement and decision fusion

Benyu Liu, Pan He

Automatic fault localization(FL) is a crucial step in software debugging tasks. In recent years, most research has incorporated the rich features of software into deep learning based fault localization methods, including both static and dynamic features. However, existing methods have yet to …

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Broad collaborative filtering with adjusted cosine similarity by fusing matrix completion

Pan He, Jiarong Shi, Wenhua Ma, Xiuyun Zheng

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An Enhanced Health Index Construction Method Based on Noise Reduction

Yushun Ding, Pan He, Yongting Zhao, Xiaoyong Sun

The prediction of Remaining Useful Life (RUL) is one of the core research directions in the PHM field, and the construction of Health Indicators (HI) is the foundation for accurate RUL prediction. Although some modern construction methods employ deep learning methods to …

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A Clustering-based Multi-Task Learning Method using Graph Attention Network for Short-term Traffic Forecasting

HongYuan Tan, Pan He, Xiaoyong Sun, Yongting Zhao

In modern intelligent transportation systems, accurate short-term traffic forecasting is pivotal for managers and travelers. While recent spatio-temporal traffic forecasting models excel in short-term predictions, data from different traffic node inherently possesses diverse characteristics, yet existing models tend to neglect the disparities …

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Multi-state Aperiodic Inspection-based Maintenance Strategy Optimization using Real-time Data

Jitong Zeng, Pan He

For complex engineering systems, proper equipment maintenance is one of the most important means to ensure the system’s safety, reliability, and availability. To further reduce the maintenance cost of the system, this paper proposes a method to optimize the inspection and maintenance …

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Software Defect Prediction using Multi-scale Structural Information

Fanggeng Tang, Pan He

In recent years, most researches have used the sequence of nodes in the abstract syntax tree (AST) of code to extract features for software defect prediction (SDP). While the AST is a kind of graph data, it may ignore some part of …

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Correction to: A pure nanoICG-based homogeneous lipiodol formulation: toward precise surgical navigation of primary liver cancer after long-term transcatheter arterial embolization

Yang Zhang, Hongwei Cheng, Hu Chen, Pei‐Yao Xu et autres

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A Multi-State Aperiodic Inspection Strategy Optimizing Method in Software Rejuvenation

Jun Zhang, Shuo Li, Pan He

To further reduce the maintenance cost in the process of software aging, a multi-state aperiodic inspection method in the field of software rejuvenation is proposed. In this method, the inspection target reliability (ITR) in different state intervals is used as a decision …

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New insights into external layers of cyanobacteria and microalgae based on multiscale analysis of AFM force-distance curves

Yan Xiao, Yuran Cheng, Pan He, Xinghua Wu et autres

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Runtime Quality Prediction for Web Services via Multivariate Long Short‐Term Memory

Ling Guo, Ping Wan, Rui Li, Gang Liu et autres

Online quality prediction helps to identify the web service quality degradation in the near future. While historical web service usage data are used for online prediction in preventive maintenance, the similarities in the usage data from multiple users invoking the same web …

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