Skip to main content
Springer Nature Link
Log in

Neural Computing for Advanced Applications

5th International Conference, NCAA 2024, Guilin, China, July 5–7, 2024, Proceedings, Part III

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Haijun Zhang

    1. Harbin Institute of Technology, Shenzhen, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Xianxian Li

    1. Guangxi Normal University, Guilin, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Tianyong Hao

    1. South China Normal University, Guangzhou, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Weizhi Meng

    1. Technical University of Denmark, Kongens Lyngby, Denmark

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Zhou Wu

    1. Chongqing University, Chongqing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Qian He

    1. Guilin University of Electronic Technology, Guilin, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 2183)

Included in the following conference series:

Conference proceedings info: NCAA 2024.

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

Access this book

Log in via an institution
eBook USD 79.99
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 book constitutes the refereed proceedings of the 5th International Conference on Neural Computing for Advanced Applications, NCAA 2024, held in Guilin, China, during July 5–7, 2024.

The 89 revised full papers presented in these proceedings were carefully reviewed and selected from 227 submissions. The papers are organized in the following topical sections:

Part I: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Computer vision, and their engineering applications.

Part II: Computational intelligence, nature-inspired optimizers, their engineering applications, and benchmarks.

Part III: Natural language processing, knowledge graphs, recommender systems, multimodal Deep Learning, and their applications; Fault diagnosis and forecasting, prognostic management, Time-series analysis, and cyber-physical system security.

Keywords

Table of contents (33 papers)

  1. Fault Diagnosis and Forecasting, Prognostic Management, Time-Series Aanalysis, and Cyber-Physical System Security

    1. An Interior Illuminance Prediction Model Based on Differential Evolution-Gaussian Fitting

      • Yuting Liu, Yanjie Xu, Yuping Yang
      Pages 255-269

    2. Mitigating Dimensional Collapse and Model Drift in Non-IID Data of Federated Learning

      • Ming Jiang, Yun Li, Yao Lu, Biao Guo, Feng Zhang
      Pages 270-283

    3. Wire Rope Damage Detection Method Based on Support Vector Machine Wavelet Kernel Function Algorithm

      • Zusong Jin, Tao Wang, Zhiheng Luo
      Pages 284-298

    4. Ensemble Tidal Prediction Scheme by Combining Harmonic Analysis and Meteorological Predictive Module

      • Rui Wang, Jianchuan Yin, Dongxing Xu
      Pages 299-313

    5. Privacy Preserving Average Consensus via Integrable Function Based Masking

      • Xinyi Yao, Qiang Jia
      Pages 314-325

    6. Fault Diagnosis of Photovoltaic Modules Based on Feature Extraction

      • Xueqi Wang, Lixia Cao
      Pages 326-338

    7. A Multi-scale Feature Adaptation ConvNeXt for Cross-Domain Fault Diagnosis

      • Zhe Huang, Qing Lan, Mingxuan Li, Zhihui Wen, Wangpeng He
      Pages 339-353

    8. Transmission Line Equipment Defect Detection Based on Improved YOLO Network

      • Jiajun Zhu, Tao Wang, Lin Wang, Zhiheng Luo
      Pages 354-368

    9. A Road Defect Detection Algorithm Based on Improved YOLOv8

      • Yiqing Niu, Jianrong Cao, Yuanchang Wang
      Pages 369-383

    10. Improved Road Defect Detection Model Based on RT-DETR for UAV Images

      • Xueqiu Wang, Huanbing Gao, Zemeng Jia, Zijian Li, Zhiqiang Yang
      Pages 384-396

    11. Blockchain-Based Multi-target Distributed Passive Localization

      • Zijian Song, Jing Zhu, Hongyuan Zheng
      Pages 397-411

    12. Prediction of Monthly Precipitation in Guangxi Based on EVO-CNN-LSTM-Attention Model

      • Xing Zhang, Jiansheng Wu, Yeqiong Shi, Tiejin Li
      Pages 412-424

    13. Exploiting Fourier Transform for Multi-scale Electric Load Forecasting

      • Niangxi Zhuang, XiaoBing Yang, PeiLin Yang, ChaoHui Liang, LuLu Sun, ChouJun Zhan
      Pages 425-437

    14. ASTGCN for Traffic Flow Prediction Based on Weather Influence

      • Jianlin Zhou, Minyuan Song, Kaiyuan Zheng, Lujuan Ma
      Pages 438-451

    15. PF-BiCGAN: An Abnormal Values Replacement Approach for Port Electrical Load Forecasting

      • Jiepeng Du, Yujia Chen, Jingjing Cao
      Pages 452-466

    16. Short-Term Load Forecasting of Secondary CEEMDAN-SE-Transformer-BiLSTM Combined with Error Correction

      • Lin Wang, Linxian Wang, Weishuo Li, Tao Wang, Jiajun Zhu, Zhiheng Luo
      Pages 467-482

  2. Back Matter

    Pages 483-486
    Download chapter PDF
Back to top

Other volumes

  1. Neural Computing for Advanced Applications

  2. Neural Computing for Advanced Applications

  3. Neural Computing for Advanced Applications

Editors and Affiliations

  • Harbin Institute of Technology, Shenzhen, China

    Haijun Zhang

  • Guangxi Normal University, Guilin, China

    Xianxian Li

  • South China Normal University, Guangzhou, China

    Tianyong Hao

  • Technical University of Denmark, Kongens Lyngby, Denmark

    Weizhi Meng

  • Chongqing University, Chongqing, China

    Zhou Wu

  • Guilin University of Electronic Technology, Guilin, China

    Qian He

Bibliographic Information

Publish with us

Policies and ethics

Back to top