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Artificial Intelligence and Machine Learning

First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part I

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Hai Jin

    1. Huazhong University of Science and Technology, Wuhan, China

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  2. Yi Pan

    1. Chinese Academy of Science, Shenzhen, China

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  3. Jianfeng Lu

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

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2058)

Included in the following conference series:

Conference proceedings info: IAIC 2023.

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Table of contents (37 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Machine Printed Page Number Anomaly Detection Method Based on Multi-scale Self Attention Encoding Decoding

    • Xiangchao Shao, Xueli Xiao, Yingxiong Leng
    Pages 1-15

  3. A Novel MEC Framework for Extractive Summarization Using Semantic Role Graph and Semantic Matching

    • Tiantian Li, Bingchuan He, Huangfei Cheng, Bin Cao
    Pages 16-31

  4. A Paper Citation Link Prediction Method Using Graph Attention Network

    • Zhixuan Zou, Yiwen Sun, Weiguo Li, Yiqi Li, Yintong Wang
    Pages 32-41

  5. Research on Emotional Analysis of Tibetan Short Text Based on Fusion Sentiment Lexicon

    • Wan Ma Dao Ji, An Jian Cai Rang, Jan Yang Cuo, Gong Bao Jia, De Ji Cuo, Zan La Gong et al.
    Pages 42-57

  6. A Review of Solving Non-IID Data in Federated Learning: Current Status and Future Directions

    • Wenhai Lu, Jieren Cheng, Xiulai Li, Ji He
    Pages 58-72

  7. A Review of Relationship Extraction Based on Deep Learning

    • Guolong Liao, Xiangyan Tang, Tian Li, Li Zhong, Pengfan Zeng
    Pages 73-84

  8. BERT and LLM-Based Multivariate Hate Speech Detection on Twitter: Comparative Analysis and Superior Performance

    • Xiaohou Shi, Jiahao Liu, Yaqi Song
    Pages 85-97

  9. Deep Learning for Protein-Protein Contact Prediction Using Evolutionary Scale Modeling (ESM) Feature

    • Lan Xu
    Pages 98-111

  10. FedTag: Towards Automated Attack Investigation Using Federated Learning

    • Mu Chen, Zaojian Dai, Yong Li, Ziang Lu
    Pages 112-126

  11. Deep Learning Based SQL Injection Attack Detection

    • Zhang Pan, Qianli Huang, Ziqing Tian, Ying Liu, Jiapeng Lou, Yongguang Gong et al.
    Pages 127-141

  12. RSCC: Robust Semi-supervised Learning with Contrastive Learning and Augmentation Consistency Regularization

    • Xinran Jing, Yongli Wang
    Pages 142-155

  13. Enhanced Prototypical Network for Few-Shot Named Entity Recognition

    • Tianwen Huang, Mingming Zhang, Kai Liu, Xianhui Li, Yongli Wang
    Pages 156-170

  14. Regularized DNN Based Adaptive Compensation Algorithm for Gateway Power Meter in Ultra-High Voltage Substations

    • Yonggui Wang, Xiao Feng, Wenjing Li, Tengfei Dong
    Pages 171-181

  15. Dynamic Occlusion Expression Recognition Based on Improved GAN

    • Minchao Liang, Mingming Zhang, Kai Liu, Xianhui Li, Yongli Wang
    Pages 182-197

  16. Contrastive Learning Based on AMR Graph for Logic Reasoning

    • Yan He, Yongli Wang
    Pages 198-211

  17. Automated Detection and Recognition of Wild Dolphin Behaviors Using Deep Learning

    • Jiahua Lin, Duan Gui, Quan Xie, Xundao Zhou, Yunxiao Shan
    Pages 212-219

  18. M-GFCC: Audio Copy-Move Forgery Detection Algorithm Based on Fused Features of MFCC and GFCC

    • Dongyu Wang, Canghong Shi, Junrong Li, Jiaxin Gan, Xianhua Niu, Ling Xiong
    Pages 220-234

  19. A Survey of Homogeneous and Heterogeneous Multi-source Information Fusion Based on Rough Set Theory

    • Haojun Liu, Xiangyan Tang, Taixing Xu, Ji He
    Pages 235-246

  20. Formula Maintenance of Single Material Tobacco Compatibility Based on Co-formulation Analysis Method

    • Yuxuan Dong, Kaihu Hou, Yaqin Liu, Xiantao Ma, Ming Chen, Yunfa Gao et al.
    Pages 247-261
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Other volumes

  1. Artificial Intelligence and Machine Learning

  2. Data Science and Information Security

Keywords

About this book

This 3-volume set, CCIS 2058-2060 constitutes the First International Conference, on Artificial Intelligence, IAIC 2023, held in Nanjing, China, in November 2023.
The 85 full papers presented were carefully reviewed and selected from 428 submissions. The papers are clustered in parts on: Artificial Intelligence and Machine Learning; Data Security and information Security; Computer Networks and IoT. The papers present recent research and developments in artificial intelligence and its applications in machine learning, natural language processing, computer vision, robotics, and ethical considerations.

Editors and Affiliations

  • Huazhong University of Science and Technology, Wuhan, China

    Hai Jin

  • Chinese Academy of Science, Shenzhen, China

    Yi Pan

  • Nanjing University of Science and Technology, Nanjing, China

    Jianfeng Lu

Bibliographic Information

  • Book Title: Artificial Intelligence and Machine Learning

  • Book Subtitle: First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part I

  • Editors: Hai Jin, Yi Pan, Jianfeng Lu

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-981-97-1277-9

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Softcover ISBN: 978-981-97-1276-2Published: 15 April 2024

  • eBook ISBN: 978-981-97-1277-9Published: 02 April 2024

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XXI, 488

  • Number of Illustrations: 45 b/w illustrations, 163 illustrations in colour

  • Topics: Artificial Intelligence, Computer Applications, Computer Communication Networks, Machine Learning

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