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Advanced Intelligent Computing Technology and Applications

21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XII

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. De-Shuang Huang

    1. Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China

  2. Wei Chen

    1. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China

  3. Yijie Pan

    1. Computer Science Department, Eastern Institute of Technology, Ningbo, China

  4. Haiming Chen

    1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China

Part of the book series: Communications in Computer and Information Science (CCIS, volume 2575)

Included in the following conference series:

Conference proceedings info: ICIC 2025.

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About this book

The 12-volume set CCIS 2564-2575, together with the 28-volume set LNCS/LNAI/LNBI 15842-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025.

The 523 papers presented in these proceedings books were carefully reviewed and selected from 4032 submissions.

This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications".

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Table of contents (44 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Image Processing

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Illumination-Guided Enhancement of Underexposed Fundus Images with Retinal Structural Modeling

      • Wenjun Hu, Wenjiao Li, Shiyu An, Wei Li, Yonghua Zhang, Lvchen Cao
      Pages 3-14

    3. DANet: Dual-Stream Adaptive Interaction and Attention Fusion Network for High-Resolution Remote Sensing Cropland Change Detection

      • Xin Yang, Yurong Qian, Palidan Tuerxun, Lu Bai, Yuanxu Wang, Yingying Fan et al.
      Pages 15-26

    4. MLMamba: An Infrared and Visible Image Fusion Model Based on a Multi-Branch Mamba Enhanced with an Attention Mechanism

      • Yan Wang, Jinlong Zhang, Wendi Liu, Yingying Tai
      Pages 27-38

    5. DualAttnADCNet: Explainable Skin Lesion Classification via Dual Attention and Dense Classifier

      • Zhaohui Wang, Runzhi Xu, Jiyong Xu, Changfang Chen, Ruixia Liu
      Pages 39-50

    6. A New Target Detection Model in Complex Environments Based on Unmanned Aerial Vehicle Images

      • Yongchang Liu, Yao Lu, Xingchen Zhao, Hongli Cui, Chuanlei Zhang, Haifeng Fan et al.
      Pages 51-60

    7. A Selective Fusion UNet for Coronary Artery Segmentation

      • Yuqiang Shen, Jialong Chen, Jijun Tong
      Pages 61-72

    8. Unpaired Artistic Portrait Drawing Generation with Asymmetric Network

      • Di Sun, Xiaoyu Li, Tingting Yang, Chuanlei Zhang, Chao Ren, Gang Pan
      Pages 73-84

    9. MEN-AD: Multimodal Zero-Shot Detection of Mucus Anomalies in Endoscopy

      • Xinpan Yuan, Mingzhu Huang, Liujie Hua, Changhong Zhang, Jianuo Ju, Shaomin Xie et al.
      Pages 85-97

  3. Knowledge Discovery and Data Mining

    1. Front Matter

      Pages 99-99
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    2. Semantic-Knowledge Infused Rule Representation Learning for Enhanced Customs Risk Rule Generation

      • Yipeng Yin, Shuicai Shi, Hongfa Huang, Chungeng Qiao, Yinsong Li
      Pages 101-113

    3. Deep Knowledge Tracing Model Integrating Learning Consistency and Difficulty

      • Ziheng Hu, Shaopeng Wang
      Pages 114-125

    4. TDSR: Temporal Dynamics Enhanced Semantic Recommendation via Cross-Domain Interactive Learning

      • Xunfei Zhu, Yuzhao Song, Xuhao Guo, Jizhou Wang, Junliang Du
      Pages 126-137

    5. Knowledge Enhanced Global Graph Contrastive Denoising for Recommendation

      • Cheng Li, Yong Xu, Xin He, Yujun Zhu, Jinde Cao, Qun Fang
      Pages 138-149

    6. Multi-scale Fusion Recurrent Attention Framework for Time Series Forecasting

      • Fancui Xie, Mengxiao Yin, Zhiqiang Yang, Peizhao Zheng, Jiachao Li, Bei Hua et al.
      Pages 150-161

    7. Denoising Multimodal Recommendation with Two-Stage Multi-view Contrastive Fusion

      • Haibo Liu, Yunlong Zhou, Limin Wu, Yuchen Zhuang, Jinglian Liu
      Pages 162-173

    8. MFFKT: A Deep Knowledge Tracing Model by Fusing Multiple Learning Factors

      • Haonan Li, Lei Zhang, Linlin Zhao, Zhenguo Zhang
      Pages 174-186

    9. Enhancing Programming Knowledge Tracing with GPT Embedding and Temporal Convolutional Network

      • Qiuying Ye, Zhengyang Wu
      Pages 187-198

    10. VE-ResBiLSTM: A Deep Spatiotemporal Model for Field-Road Classification with DBSCAN-Based Data Augmentation

      • Yawen Hou, Fengqi Hao, Jinqiang Bai, Conghui Gao, Qingyan Ding, Hoiio Kong
      Pages 199-212
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Other volumes

  1. Advanced Intelligent Computing Technology and Applications

  2. Advanced Intelligent Computing Technology and Applications

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Editors and Affiliations

  • Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China

    De-Shuang Huang

  • School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China

    Wei Chen

  • Computer Science Department, Eastern Institute of Technology, Ningbo, China

    Yijie Pan

  • Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China

    Haiming Chen

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This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

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