Knowledge Science, Engineering and Management: 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part V | SpringerLink
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Knowledge Science, Engineering and Management

17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part V

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Cungeng Cao

    1. Chinese Academy of Sciences, Beijing, China

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  2. Huajun Chen

    1. Zhejiang University, Zhejiang, China

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  3. Liang Zhao

    1. Emory University, Atlanta, USA

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  4. Junaid Arshad

    1. Birmingham City University, Birmingham, UK

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  5. Taufiq Asyhari

    1. Monash University, Banten, Indonesia

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  6. Yonghao Wang

    1. Birmingham City University, Birmingham, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14888)

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

Included in the following conference series:

Conference proceedings info: KSEM 2024.

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About this book

The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16–18, 2024.

The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections:

Volume I: Knowledge Science with Learning and AI (KSLA)

Volume II: Knowledge Engineering Research and Applications (KERA)

Volume III: Knowledge Management with Optimization and Security (KMOS)

Volume IV: Emerging Technology

Volume V: Special Tracks

Keywords

Table of contents (28 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Special Track

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning

      • Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li et al.
      Pages 3-16

    3. Evaluating GPT’s Programming Capability Through CodeWars’ Katas

      • Zizhuo Zhang, Lian Wen, Shaoyang Zhang, David Chen, Yanfei Jiang
      Pages 17-26

    4. An Online Portfolio Selection Algorithm with Dynamic Coreset Construction

      • Jing Peng, Kaiyin Chao, Geying Chen, Jianfei Yin
      Pages 27-37

    5. Interval-Valued Fuzzy Portfolio Decision Model with Transaction Cost and Liquidity

      • Qiansheng Zhang, Yuanjun Ou
      Pages 38-47

    6. Active Learning for Low-Resource Project-Specific Code Summarization

      • Chengli Xing, Tianxiang Hu, Ninglin Liao, Minghui Zhang, Dongdong Du, Yupeng Wu et al.
      Pages 48-57

    7. A Survey of Game-Theoretic Methods for Controlling COVID-19

      • Zhiqi Deng, Xudong Luo, Michael Y. Luo
      Pages 58-73

    8. ComPAT: A Compiler Principles Course Assistant

      • Shubin Cai, Honglong Chen, Youyi Huang, Zhong Ming
      Pages 74-83

    9. Tram Air Conditioning Fault Prediction Using Machine Learning

      • Suman, Essa Q. Shahra, Abdulrahman A. Alsewari, Haitham H. Mahmoud
      Pages 84-94

    10. Lexicon Graph Adapter Based BERT Model for Chinese Named Entity Recognition

      • Jie Liu, Peipei Liu, Yimo Ren, Jinfa Wang, Hongsong Zhu
      Pages 95-105

    11. Insider Threat Defense Strategies: Survey and Knowledge Integration

      • Chengyu Song, Jingjing Zhang, Linru Ma, Xinxin Hu, Jianming Zheng, Lin Yang
      Pages 106-122

    12. GA-MEPS: Multiple Experts Portfolio Selection Based on Genetic Algorithm

      • Kaiyin Chao, Jing Peng, Xiaomian Xiao, Jinglan Deng, Hanyu Yang, Jianfei Yin
      Pages 123-133

    13. Deep Learning and Machine Learning-Based Approaches to Inferring Social Media Network Users’ Interests from a Missing Data Issues

      • Feriel Gammoudi, Mohamed Nazih Omri
      Pages 134-143

    14. Customer Segmentation for Telecommunication Using Machine Learning

      • Haitham H. Mahmoud, A. Taufiq Asyhari
      Pages 144-154

    15. DP-MFRNN: Difficulty Prediction for Examination Questions Based on Neural Network Framework

      • Xingjian Xu, Liu Fang, Zhuang Lv
      Pages 155-164

    16. Causal Relationship Extraction Combined Boundary Detection and Information Interaction

      • Honglei Zhang, Rong Yan
      Pages 165-175

    17. Profit Maximization in Edge-Enabled Multimedia Data Market: A Game-Based Pricing Approach

      • Bo Shen, Qian Ma, Gang Yang, Ru Wang
      Pages 176-187

    18. Reinforcement Learning for Scientific Application: A Survey

      • Zhikuang Xin, Zhenghong Wu, Dong Zhu, Xiaoguang Wang, Jue Wang, Yangang Wang
      Pages 188-202

    19. Zunna

      • Yussuf Ahmed, William Hunt, Haitham H. Mahmoud, Mohamed Ben Farah
      Pages 203-213
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Other volumes

  1. Knowledge Science, Engineering and Management

  2. Knowledge Science, Engineering and Management

  3. Knowledge Science, Engineering and Management

  4. Knowledge Science, Engineering and Management

  5. Knowledge Science, Engineering and Management

Editors and Affiliations

  • Chinese Academy of Sciences, Beijing, China

    Cungeng Cao

  • Zhejiang University, Zhejiang, China

    Huajun Chen

  • Emory University, Atlanta, USA

    Liang Zhao

  • Birmingham City University, Birmingham, UK

    Junaid Arshad, Yonghao Wang

  • Monash University, Banten, Indonesia

    Taufiq Asyhari

Bibliographic Information

  • Book Title: Knowledge Science, Engineering and Management

  • Book Subtitle: 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part V

  • Editors: Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-97-5489-2

  • 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: 978-981-97-5488-5Published: 27 July 2024

  • eBook ISBN: 978-981-97-5489-2Published: 26 July 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIII, 328

  • Number of Illustrations: 16 b/w illustrations, 83 illustrations in colour

  • Topics: Artificial Intelligence, Computer Systems Organization and Communication Networks, Computing Milieux, Computer Applications

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