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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 II

  • 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 1870)

Included in the following conference series:

Conference proceedings info: NCAA 2023.

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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.

Keywords

Table of contents (43 papers)

  1. Front Matter

    Pages i-xxiv
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  2. Deep Learning-Driven Pattern Recognition, Computer Vision and Its Industrial Applications

    1. Front Matter

      Pages 1-1
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    2. Improved YOLOv5s Based Steel Leaf Spring Identification

      • Conglin Gao, Shouyin Lu, Xinjian Gu, Xinyun Hu
      Pages 3-17

    3. A Bughole Detection Approach for Fair-Faced Concrete Based on Improved YOLOv5

      • Bazhou Li, Feichao Di, Yang Li, Quan Luo, Jingjing Cao, Qiangwei Zhao
      Pages 18-31

    4. UWYOLOX: An Underwater Object Detection Framework Based on Image Enhancement and Semi-supervised Learning

      • Yue Zhou, Deshun Hu, Cheng Li, Wangpeng He
      Pages 32-45

    5. A Lightweight Sensor Fusion for Neural Visual Inertial Odometry

      • Yao Lu, Xiaoxu Yin, Feng Qin, Ke Huang, Menghua Zhang, Weijie Huang
      Pages 46-59

    6. A Two-Stage Framework for Kidney Segmentation in Ultrasound Images

      • Zhengxuan Song, Xun Liu, Yongyi Gong, Tianyong Hao, Kun Zeng
      Pages 60-74

    7. Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios

      • Libing Chen, Wenjing Zhang, Yiling Tan
      Pages 75-89

    8. A Deep Learning Algorithm for Synthesizing Magnetic Resonance Images from Spine Computed Tomography Images using Mixed Loss Functions

      • Rizhong Huang, Menghua Zhang, Ke Huang, Weijie Huang
      Pages 90-102

    9. Investigating the Transferability of YOLOv5-Based Water Surface Object Detection Model in Maritime Applications

      • Yu Guo, Zhuo Chen, Qi Wang, Tao Bao, Zexing Zhou
      Pages 103-115

    10. Physical-Property Guided End-to-End Interactive Image Dehazing Network

      • Junhu Wang, Suiyi Zhao, Zhao Zhang, Yang Zhao, Haijun Zhang
      Pages 116-131

    11. A Clothing Classification Network with Manifold Structure Based on Second-Order Convolution

      • Ruhan He, Cheng Quan
      Pages 132-146

    12. Multi-size Scaled CAM for More Accurate Visual Interpretation of CNNs

      • Fuyuan Zhang, Xiaohong Xiang, Xin Deng, Xiaoyu Ding
      Pages 147-161

    13. Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithm

      • Yiming Liu, Yunchu Zhang, Yanfei Zhou, Xinyi Zhang
      Pages 162-176

  3. Natural Language Processing, Knowledge Graphs, Recommender Systems, and Their Applications

    1. Front Matter

      Pages 177-177
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    2. An Enhanced Model Based on Recurrent Convolutional Neural Network for Predicting the Stage of Chronic Obstructive Pulmonary Diseases

      • Zhanjie Mai, Pengjiu Yu, Chunli Liu, Qun Luo, Li Wei, Tianyong Hao
      Pages 179-190

    3. Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-attention Mechanism

      • Ao Zhang, Yifei Sun, Shi Cheng, Jie Yang, Xin Sun, Zhuo Liu et al.
      Pages 191-201

    4. MAMF: A Multi-Level Attention-Based Multimodal Fusion Model for Medical Visual Question Answering

      • Shaopei Long, Zhenguo Yang, Yong Li, Xiaobo Qian, Kun Zeng, Tianyong Hao
      Pages 202-214

    5. ASIM: Explicit Slot-Intent Mapping with Attention for Joint Multi-intent Detection and Slot Filling

      • Jingwen Chen, Xingyi Liu, Mingzhi Wang, Yongli Xiao, Dianhui Chu, Chunshan Li et al.
      Pages 215-228

    6. A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection

      • Guanhua Chen, Qiqi Xu, Choujun Zhan, Fu Lee Wang, Kuanyan Zhu, Hai Liu et al.
      Pages 229-244
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Other volumes

  1. International Conference on Neural Computing for Advanced Applications

  2. International Conference on Neural Computing for Advanced Applications

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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