Advanced Intelligent Computing Technology and Applications

1. Front Matter

   Pages i-xx

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2. Knowledge Discovery and Data Mining

   1. Front Matter

      Pages 1-1

      PDF

   2. Ponzi Scheme Identification of Smart Contract Based on Multi Feature Fusion

      • Xiaoxiao Jiang, Mingdong Xie, Shulin Wang, Sheng Yang

      Pages 3-14

   3. An Adaptive Method for Generating the Traffic State Thresholds on Road Networks

      • Jiacheng Wu, Wang Zhu, Jianli Xiao

      Pages 15-26

   4. RNL: A Robust and Highly-Efficient Model for Time-Aware Web Service QoS Prediction

      • Jiajia Mi, Hao Wu

      Pages 27-39

   5. A Time-Aware Graph Attention Network for Temporal Knowledge Graphs Reasoning

      • Shuxin Cao, Chengwei Liu, Xiaoxu Zhu, Peifeng Li

      Pages 40-51

   6. Multivariate Time Series Anomaly Detection Method Based on mTranAD

      • Chuanlei Zhang, Yicong Li, Jie Li, Guixi Li, Hui Ma

      Pages 52-63

   7. Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks

      • Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo

      Pages 64-76

   8. Information Extraction System for Invoices and Receipts

      • QiuXing Michelle Tan, Qi Cao, Chee Kiat Seow, Peter Chunyu Yau

      Pages 77-89

   9. Missing Data Analysis and Soil Compressive Modulus Estimation via Bayesian Evolutionary Trees

      • Wenchao Zhang, Peixin Shi, Xiaoqi Zhou, Pengjiao Jia

      Pages 90-100

   10. Music Emotion Recognition Using Multi-head Self-attention-Based Models

       • Yao Xiao, Haoxin Ruan, Xujian Zhao, Peiquan Jin, Xuebo Cai

       Pages 101-114

   11. Deep Reinforced Active Learning for Time Series Anomaly Detection

       • Haojie Li, Hongzuo Xu, Wei Peng

       Pages 115-128

   12. Dynamic Label Propagation Density Peak Clustering Based on the Tissue-Like P Systems

       • Qing Du, Xiyu Liu

       Pages 129-140

   13. TAP-AHGNN: An Attention-Based Heterogeneous Graph Neural Network for Service Recommendation on Trigger-Action Programming Platform

       • Zijun Huang, Jiangfeng Li, Huijuan Zhang, Chenxi Zhang, Gang Yu

       Pages 141-152

   14. Online Unsupervised Anomaly Detection in Stream Data with Spiking Neural Networks Using Dynamic Scoring

       • Yaling Li, Jintian Ge

       Pages 153-164

   15. Research on Double Input Electric Load Forecasting Model Based on Feature Fusion

       • Zi Wang, Tao Zhang, Sheng Zeng, Bing Wang

       Pages 165-175

3. Machine Learning

   1. Front Matter

      Pages 177-177

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   2. K-means Based Transfer Learning Algorithm

      • Yuanyuan Du, Bo Li, Zhonghua Quan

      Pages 179-190

   3. HSIC Induced LncRNA Feature Selection

      • Anjie Guo, Bo Li

      Pages 191-200

   4. 2D-DLPP Algorithm Based on SPD Manifold Tangent Space

      • Xiaohang Li, Bo Li, Zonghui Wang

      Pages 201-212

This three-volume set of LNCS 14086, LNCS 14087 and LNCS 14088 constitutes - in conjunction with the double-volume set LNAI 14089-14090- the refereed proceedings of the 19th International Conference on Intelligent Computing, ICIC 2023, held in Zhengzhou, China, in August 2023.

The 337 full papers of the three proceedings volumes were carefully reviewed and selected from 828 submissions.

This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

• Evolutionary Computation and Learning
• Swarm Intelligence and Optimization
• Information Security
• Theoretical Computational Intelligence and Applications
• Neural Networks

• Department of Computer Science, Eastern Institute of Technology, Zhejiang, China

  De-Shuang Huang

• University of Wollongong, North Wollongong, Australia

  Prashan Premaratne

• Zhengzhou University of Light Industry, Zhengzhou, China

  Baohua Jin

• Zhong Yuan University of Technology, Zhengzhou, China

  Boyang Qu

• University of Ulsan, Ulsan, Korea (Republic of)

  Kang-Hyun Jo

• Department of Computer Science, Liverpool John Moores University, Liverpool, UK

  Abir Hussain