Skip to main content
Springer Nature Link
Log in

Advances in Swarm Intelligence

15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23–26, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Ying Tan

    1. Peking University, Beijing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Yuhui Shi

    1. Southern University of Science and Technology, Shenzhen, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14789)

Included in the following conference series:

Conference proceedings info: ICSI 2024.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 139.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in Swarm Intelligence, ICSI 2024, held in Xining, China, during August 23–26, 2024.

The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections:

Part I - Particle swarm optimization; Swarm intelligence computing; Differential evolution; Evolutionary algorithms; Multi-agent reinforcement learning & Multi-objective optimization.

Part II - Route planning problem; Machine learning; Detection and prediction; Classification; Edge computing; Modeling and optimization & Analysis of review.

Keywords

Table of contents (37 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  3. Machine Learning

    1. Front Matter

      Pages 59-59
      Download chapter PDF

    2. Robust Heterogeneous Federated Learning via Data-Free Knowledge Amalgamation

      • Jun Ma, Zheng Fan, Chaoyu Fan, Qi Kang
      Pages 61-71

    3. Efficient Multilevel Spatial Co-location Pattern Discovery Based on Density-Wise Clustering and MC-Hash Structure

      • Vanha Tran, Muquan Zou, Thiloan Bui, Thaigiang Do, Ducanh Khuat, Hoangan Le
      Pages 72-87

    4. Multiple Machine Learning Methods with Correlation Analysis for Short-Term River Water Quality Prediction

      • Ming Chen, Guanliang Liu, Ting Lv
      Pages 88-98

    5. FGFL: Fine-Grained Federated Learning Based on Neural Architecture Search for Heterogeneous Clients

      • Weiqin Ying, Chixin Wang, Yu Wu, Xuan Luo, Zhe Wen, Han Zhang
      Pages 99-111

    6. Federated Neural Architecture Search with Hierarchical Progressive Acceleration for Medical Image Segmentation

      • Yu Wu, Hailong Fan, Weiqin Ying, Zekun Zhou, Qiaoqiao Zheng, Jiajian Zhang
      Pages 112-123

    7. KIS-SQL: Knowledge-Enhanced In-Context Learning and Self-correction of Text-to-SQL

      • Qiujie Fan
      Pages 124-135

    8. Research on the Operation Strategy of S Internet Hospital Based on Business Intelligence

      • Jun Xie, Yiding Fan, Qingke Shi
      Pages 136-144

    9. Complex Network-Based Decision-Making Analysis of Strikes on Important Nodes of a Typical Kill Chain

      • Yuchen Zhang, Changpeng Pan, Xiangyang Deng
      Pages 145-159

    10. Pixel Importance-Based Transfer Adversarial Attack

      • Kongyuan Wang, Li Yan, Chao Li, Boyang Qu
      Pages 160-171

    11. Data-Driven Intervention Strategies for Mitigating Illegal Wildlife Trade: A Case Study of the United States

      • Pan Xue, Tianchang Zhou, Hui Sun, Jihao Song, Xiaoliang Guo, Zhiwei Shao
      Pages 172-183

  4. Detection and Prediction

    1. Front Matter

      Pages 185-185
      Download chapter PDF

    2. Lung Nodule Detection Based on Spike-Driven Self-Attention YOLO

      • Xiaoqing Wei, Yuchao Lv, Hui Wang, Peiyin Yang, Zheng Dong, Ju Liu et al.
      Pages 187-196
Back to top

Other volumes

  1. Advances in Swarm Intelligence

  2. Advances in Swarm Intelligence

Editors and Affiliations

  • Peking University, Beijing, China

    Ying Tan

  • Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation