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International Conference on Neural Computing for Advanced Applications

4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part I

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Haijun Zhang

    1. Harbin Institute of Technology, Shenzhen, China

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  2. Yinggen Ke

    1. Chaohu University, Hefei, China

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  3. Zhou Wu

    1. Chongqing University, Chongqing, China

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  4. Tianyong Hao

    1. South China Normal University, Guangzhou, China

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  5. Zhao Zhang

    1. Hefei University of Technology, Hefei, China

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  6. Weizhi Meng

    1. Technical University of Denmark, Kongens Lyngby, Denmark

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  7. Yuanyuan Mu

    1. Chaohu University, Hefei, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1869)

Included in the following conference series:

Conference proceedings info: NCAA 2023.

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Table of contents (41 papers)

  1. Front Matter

    Pages i-xxiii
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  2. Neural Network (NN) Theory, NN-Based Control Systems, Neuro-System Integration and Engineering Applications

    1. Front Matter

      Pages 1-1
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    2. ESN-Based Control of Bending Pneumatic Muscle with Asymmetric and Rate-Dependent Hysteresis

      • Hongge Ru, Jian Huang, Bo Wang
      Pages 3-17

    3. Image Reconstruction and Recognition of Optical Flow Based on Local Feature Extraction Mechanism of Visual Cortex

      • Wanyan Lin, Hao Yi, Xiumin Li
      Pages 18-32

    4. Conditional Diffusion Model-Based Data Augmentation for Alzheimer’s Prediction

      • Weiheng Yao, Yanyan Shen, Fred Nicolls, Shu-Qiang Wang
      Pages 33-46

    5. Design of Dissolved Oxygen Online Controller Based on Adaptive Dynamic Programming Theory

      • Yingxing Wan, Cuili Yang, Yilong Liang
      Pages 47-61

    6. Ascent Guidance for Airbreathing Hypersonic Vehicle Based on Deep Neural Network and Pseudo-spectral Method

      • Wenzhe Fu, Bo Wang, Lei Liu, Yongji Wang
      Pages 62-75

  3. Machine Learning and Deep Learning for Data Mining and Data-Driven Applications

    1. Front Matter

      Pages 77-77
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    2. Image Intelligence-Assisted Time-Series Analysis Method for Identifying “Dispersed, Disordered, and Polluting” Sites Based on Power Consumption Data

      • Xiao Zhang, Yong-Feng Zhang, Yi Zhang, Jun Xiong
      Pages 79-91

    3. Non-intrusive Load Identification Based on Steady-State V-I Trajectory

      • Dingrui Zhi, Jiachuan Shi, Rao Fu
      Pages 92-105

    4. Prediction of TP in Effluent at Multiple Scales Based on ESN

      • Yilong Liang, Cuili Yang, Yingxing Wan
      Pages 106-118

    5. Application of WOA-SVM Based Algorithm in Tumor Cell Detection Research

      • Zhiheng Luo, Yanping Li, Dongyue Luo, Lin Wang, Jiajun Zhu
      Pages 119-131

    6. MM-VTON: A Multi-stage Virtual Try-on Method Using Multiple Image Features

      • Guojian Li, Haijun Zhang, Xiangyu Mu, Jianghong Ma
      Pages 132-146

    7. Self-Attention-Based Reconstruction for Planetary Magnetic Field

      • Ziqian Yan, Zhao Kang, Ling Tian
      Pages 147-159

    8. Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection

      • Yangtao Xue, Li Zhang
      Pages 160-174

    9. Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting

      • Lulu Sun, Zhouming Liu, Peilin Yang, Choujun Zhan, Kim-Fung Tsang
      Pages 175-190

  4. Computational Intelligence, Nature-Inspired Optimizers, and Their Engineering Applications

    1. Front Matter

      Pages 191-191
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    2. LOS Guidance Law for Unmanned Surface Vehicle Path Following with Unknown Time-Varying Sideslip Compensation

      • Zijie Dai, Qiuxia Zhang, Jinyao Cheng, Yongpeng Weng
      Pages 193-205

    3. Application of Bat Algorithm to Reduce Power Loss in Electrical Power Systems

      • Samson Ademola Adegoke, Yanxia Sun, Zenghui Wang
      Pages 206-219

    4. An Enhanced Subregion Dominance Relation for Evolutionary Many-Objective Optimization

      • Shuai Wang, Hui Wang, Zichen Wei, Futao Liao, Feng Wang
      Pages 220-234
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Other volumes

  1. International Conference on Neural Computing for Advanced Applications

  2. International Conference on Neural Computing for Advanced Applications

Keywords

About this book

The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023.

The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics.

Editors and Affiliations

  • Harbin Institute of Technology, Shenzhen, China

    Haijun Zhang

  • Chaohu University, Hefei, China

    Yinggen Ke, Yuanyuan Mu

  • Chongqing University, Chongqing, China

    Zhou Wu

  • South China Normal University, Guangzhou, China

    Tianyong Hao

  • Hefei University of Technology, Hefei, China

    Zhao Zhang

  • Technical University of Denmark, Kongens Lyngby, Denmark

    Weizhi Meng

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