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Applied Intelligence

First International Conference, ICAI 2023, Nanning, China, December 8–12, 2023, Proceedings, Part I

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. De-Shuang Huang

    1. Eastern Institute of Technology, Zhejiang, China

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    You can also search for this editor in PubMed   Google Scholar

  2. Prashan Premaratne

    1. University of Wollongong, North Wollongong, Australia

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    You can also search for this editor in PubMed   Google Scholar

  3. Changan Yuan

    1. Guangxi Academy of Sciences, Guangxi, China

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 2014)

Included in the following conference series:

Conference proceedings info: ICAI 2023.

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About this book

This 2-volume set CCIS 2014 and CCIS 2015 constitutes the post-conference proceedings of the First International Conference on Applied Intelligence, ICAI 2023, held in Nanning, China, December 8–12, 2023.

The 64 full papers presented in this proceedings were carefully selected and reviewed from 228 submissions. The papers cover a wide range on theoretical aspects of biomedical data modeling and mining; computer vision; and deep learning. They were organized in topical sections as follows:

Part I: Biomedical data modeling and mining; computer vision; deep learning; 

Part II: Intelligent control and automation; machine learning; natural language processing and computational linguistics.

Keywords

Table of contents (35 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Biomedical Data Modeling and Mining

    1. Front Matter

      Pages 1-1
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    2. Investigation and Analysis of Corneal Morphology in Young Divers

      • Chenyang Mao, Xin Wang, Heng Li, Haojin Li, Dan Zhou, Jianwen Chen et al.
      Pages 3-12

    3. EEG Channels Selection Based on BiLSTM and NSGAII

      • Shun Wang, Liangzhi Gan
      Pages 13-22

    4. Self-Guided Local Prototype Network for Few-Shot Medical Image Segmentation

      • Pengrui Teng, Yuhu Cheng, Xuesong Wang, Yi-Jie Pan, Changan Yuan
      Pages 23-33

    5. Staphylococcus Aureus Function Proteins Classification with Time Series Forest

      • Qi Wang, Luying He, Mingzhi Song, Wenzheng Bao
      Pages 34-41

    6. Bradyrhizobium Elkanii’s Genes Classification with SVM

      • Luying He, Qi Wang, Wenzheng Bao, Zhuo Wang, Xiangwen Ji
      Pages 42-48

    7. Oral Lichen Planus Classification with SEResNet

      • Xiaojing Hu, Baitong Chen, Xueyan Yang, Wenzheng Bao, Hongchuang Zhang
      Pages 49-56

    8. Nucleotide Sequence Classification of Paeonia Lactiflora Based on Feature Representation Learning

      • Bolun Yang, Yi Cao, Ruizhi Han, Wenzheng Bao
      Pages 57-64

    9. Semantic Similarity Functions and Their Applications

      • Yang Liu, Alaa Alsaig, Vasu Alagar
      Pages 65-76

    10. A Multi-Scale Spatiotemporal Capsule Network for Epilepsy Seizure Detection

      • Wangliang Zhou, Yijie Pan, Hefan Zhou, Qingqing Chen, Jie Jiao, Meiyan Xu et al.
      Pages 77-88

    11. Improved ConvNeXt Facial Expression Recognition Embedded with Attention Mechanism

      • Yiteng Zhao, Lina Ge, Gaoxiang Cui, Teng Fang
      Pages 89-100

    12. A Domain Adaptation Deep Learning Network for EEG-Based Motor Imagery Classification

      • Jie Jiao, Yijie Pan, Hefan Zhou, Qingqing Chen, Wangliang Zhou, Peipei Gu et al.
      Pages 101-112

    13. T-GraphDTA: A Drug-Target Binding Affinity Prediction Framework Based on Protein Pre-training Model and Hybrid Graph Neural Network

      • Yijia Wu, Yanmei Lin, Yuzhong Peng, Ru Zhang, Li Cai
      Pages 113-123

    14. Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method

      • Hongliang Zhou, Yanmei Lin, Nan Chen, Yuzhong Peng
      Pages 124-135

    15. Identification of Parkinson’s Disease Associated Genes Through Explicable Deep Learning and Bioinformatic

      • Yuxin Zhang, Xiangrong Sun, Peng Zhang, Xudan Zhou, Xiansheng Huang, Mingzhi Zhang et al.
      Pages 136-146

    16. Enzyme Turnover Number Prediction Based on Protein 3D Structures

      • Yuhao He, Yizhen Wang, Yanyun Zhang, Yongfu Yang, Li Cheng, Daniyal Alghazzawi
      Pages 147-158

  3. Computer Vision

    1. Front Matter

      Pages 159-159
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    2. Challenges in Realizing Artificial Intelligence Assisted Sign Language Recognition

      • Prashan Premaratne, Peter James Vial, Sibghat Ulla
      Pages 161-168

    3. Efficient and Accurate Document Parsing and Verification Based on OCR Engine

      • Ruoyan Dong, Kexian Zhang, Xiangbo Wang, Qiang Xue, Qingyun Tan
      Pages 169-177
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Other volumes

  1. Applied Intelligence

  2. Applied Intelligence

Editors and Affiliations

  • Eastern Institute of Technology, Zhejiang, China

    De-Shuang Huang

  • University of Wollongong, North Wollongong, Australia

    Prashan Premaratne

  • Guangxi Academy of Sciences, Guangxi, China

    Changan Yuan

Bibliographic Information

  • Book Title: Applied Intelligence

  • Book Subtitle: First International Conference, ICAI 2023, Nanning, China, December 8–12, 2023, Proceedings, Part I

  • Editors: De-Shuang Huang, Prashan Premaratne, Changan Yuan

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-981-97-0903-8

  • 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: 978-981-97-0902-1Published: 01 March 2024

  • eBook ISBN: 978-981-97-0903-8Published: 29 February 2024

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XVII, 390

  • Number of Illustrations: 68 b/w illustrations, 115 illustrations in colour

  • Topics: Computer Applications

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