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Advanced Intelligent Computing Technology and Applications

20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part IV

  • Conference proceedings
  • © 2024

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Editors:
  1. De-Shuang Huang

    1. Eastern Institute of Technology, Ningbo, China

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  2. Zhanjun Si

    1. Tianjin University of Science and Technology, Tianjin, China

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  3. Chuanlei Zhang

    1. Tianjin University of Science and Technology, Tianjin, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14878)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICIC 2024.

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About this book

This 6-volume set LNAI 14875-14880 constitutes - in conjunction with the 13-volume set LNCS 14862-14874 and the 2-volume set LNBI 14881-14882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024.

The total of 863 regular papers were carefully reviewed and selected from 2189 submissions.

The intelligent computing annual conference primarily aims to promote research, development and application of advanced intelligent computing techniques by providing a vibrant and effective forum across a variety of disciplines. This conference has a further aim of increasing the awareness of industry of advanced intelligent computing techniques and the economic benefits that can be gained by implementing them.

The intelligent computing technology includes a range of techniques such as Artificial Intelligence, Pattern Recognition, Evolutionary Computing, Informatics Theories and Applications, Computational Neuroscience & Bioscience, Soft Computing, Human Computer Interface Issues, etc.

Keywords

Table of contents (41 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Intelligent Fault Diagnosis

    1. Front Matter

      Pages 1-1
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    2. Desirable Properties Based Neural Network Explanations Evaluation Method for Fault Diagnosis

      • Junfei Du, Xinyu Li, Liang Gao, Yiping Gao
      Pages 3-16

    3. Variational Autoencoder and Graph Attention Root Cause Localization Model Based on Log Data and Graph Structure

      • Jianli Ding, Yanan Yan, Jing Wang, Tantan Chen
      Pages 17-29

    4. An Interpretable Fault Prediction Method Based on Machine Learning and Knowledge Graphs

      • Zengyan Ji, Liang Zhang, Wei Yan
      Pages 30-41

    5. STRCA: A Lightweight and Accurate Root Cause Analysis System Based on 5G Signalling Trace

      • Jiang Fang, Jiadong Fu, Jiyan Sun, Liru Geng, Yinlong Liu, Wei Ma
      Pages 42-53

    6. Fault Diagnosis of Rotating Equipment Unbalance Problem Based on Denoising Stacked Autoencoders

      • Peijian Zeng, Nankai Lin, Jianghao Lin, Aimin Yang, Liheng Hou, Maohua Lu
      Pages 54-65

    7. ConvNeXt-BiGRU Rolling Bearing Fault Detection Based on Attention Mechanism

      • Yubo Zhao, Qi Liang, Zijian Tian
      Pages 66-76

    8. PBAFS: Preference-Based Active Feature Selection for Fault Diagnosis and Prevention of HVAC Systems

      • Mingjue Li, Qiucen Li, Zhikui Chen
      Pages 77-88

    9. MicroDACP: Microservice Fault Diagnosis Method Based on Dual Attention Contrastive Learning and Graph Attention Networks

      • Dongqi Xu, Xu Wu, Ningjiang Chen, Changjian Liu
      Pages 89-100

    10. SpikeFusionNet: A Hybrid Approach to Robotic Fault Diagnosis Using Spiking Neural Dynamics

      • Ying Liu, Wei Zhang, Xiaoling Luo, Yun Zhang, Hong Qu
      Pages 101-112

    11. Non-stridden Convolution and Bidirectional Cross-Scale Features Fusion Network for Steel Surface Defect Detection

      • Zhihua Xie, Liang Jin
      Pages 113-124

    12. A Lightweight Physics-Informed Neural Network Model Based on Causal Discovery for Remaining Useful Life Prediction

      • Min Li, Hongli Cui, Meiling Luo, Ting Ke
      Pages 125-136

    13. An Effective Deep SVM Approach for Fault Diagnosis of 25 Hz Track Circuit

      • Ting Ke, Wenlong Zhang, Zhimin Zhang, Zhiyu Su
      Pages 137-147

    14. Interpretable Remaining Useful Life Prediction Based on Causal Feature Selection and Deep Learning

      • Min Li, Meiling Luo, Ting Ke
      Pages 148-160

  3. Natural Language Processing and Computational Linguistics

    1. Front Matter

      Pages 161-161
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    2. Large Models and Multimodal: A Survey of Cutting-Edge Approaches to Knowledge Graph Completion

      • Minxin Wu, Yufei Gong, Heping Lu, Baofeng Li, Kai Wang, Yanquan Zhou et al.
      Pages 163-174

    3. Legal-LM: Knowledge Graph Enhanced Large Language Models for Law Consulting

      • Juanming Shi, Qinglang Guo, Yong Liao, Yuxing Wang, Shijia Chen, Shenglin Liang
      Pages 175-186

    4. Knowledge Graph Reasoning for Few-Shot Problems

      • Xiaoli Zhang, Jinhui Guo, Kun Liang, Gefei Xu
      Pages 187-196

    5. Label-Related Adaptive Graph Construction Based on Attention for Multi-label Text Classification

      • Xiwen Zhou, Xiaopeng Xie, Chenlong Zhao, Lei Yao, Zhaoxia Li, Yong Zhang
      Pages 197-208
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Other volumes

  1. Advanced Intelligent Computing Technology and Applications

  2. Advanced Intelligent Computing Technology and Applications

  3. Advanced Intelligent Computing Technology and Applications

  4. Advanced Intelligent Computing Technology and Applications

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  18. Advanced Intelligent Computing Technology and Applications

  19. Advanced Intelligent Computing Technology and Applications

  20. Advanced Intelligent Computing in Bioinformatics

  21. Advanced Intelligent Computing in Bioinformatics

Editors and Affiliations

  • Eastern Institute of Technology, Ningbo, China

    De-Shuang Huang

  • Tianjin University of Science and Technology, Tianjin, China

    Zhanjun Si, Chuanlei Zhang

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