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Advances in Brain Inspired Cognitive Systems

13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 5–6, 2023, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Jinchang Ren

    1. Robert Gordon University, Aberdeen, UK

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  2. Amir Hussain

    1. School of Computing, Edinburgh Napier University, Edinburgh, UK

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  3. Iman Yi Liao

    1. University of Nottingham, Semenyih, Malaysia

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  4. Rongjun Chen

    1. School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China

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  5. Kaizhu Huang

    1. Duke Kunshan University, Kunshan, China

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  6. Huimin Zhao

    1. School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China

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  7. Xiaoyong Liu

    1. Guangdong Polytechnic Normal University, Heyuang, China

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  8. Ping Ma

    1. Robert Gordon University, Aberdeen, UK

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  9. Thomas Maul

    1. University of Nottingham, Semenyih, Malaysia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14374)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: BICS 2023.

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About this book

This book constitutes the refereed proceedings of the International Conference on Brain Inspired Cognitive Systems, BICS 2023, held in Kuala Lumpur, Malaysia, in August 2023.
The 36 full papers included in this book were reviewed and selected from 58 submissions and are organized in thematic sections as follows: Bio-inspired systems and Neural Computation; Image Recognition, Detection and Classification; Vision and Object Tracking; Data Analysis and Machine Learning and Applications.

Keywords

Table of contents (36 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Bio-inspired Systems and Neural Computation

    1. Front Matter

      Pages 1-1
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    2. Vision-Based Deep Q-Learning on Simple Control Problems: Stabilization via Neurogenesis Regularization

      • Ananto Joyoadikusumo, Tomas Maul
      Pages 3-13

    3. Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication

      • Seng-Beng Ho, Zhaoxia Wang, Boon-Kiat Quek, Erik Cambria
      Pages 14-30

    4. GSA-UBS: A Novel Medical Hyperspectral Band Selection Based on Gravitational Search Algorithm

      • Chenglong Zhang, Xiaoli Yang, Aizhu Zhang, Dexin Yu, Nian Liu, Xiaopeng Ma
      Pages 31-40

    5. Enhancing Generalizability of Deep Learning Polyp Segmentation Using Online Spatial Interpolation and Hue Transformation

      • Mahmood Haithami, Amr Ahmed, Iman Yi Liao
      Pages 41-50

    6. MLM-LSTM: Multi-layer Memory Learning Framework Based on LSTM for Hyperspectral Change Detection

      • Yinhe Li, Yijun Yan, Jinchang Ren, Qiaoyuan Liu, Haijiang Sun
      Pages 51-61

    7. A Hierarchical Geometry-to-Semantic Fusion GNN Framework for Earth Surface Anomalies Detection

      • Boan Chen, Aohan Hu, Mengjie Xie, Zhi Gao, Xuhui Zhao, Han Yi
      Pages 62-71

    8. Zero-Shot Incremental Learning Algorithm Based on Bi-alignment Mechanism

      • Yang Zhao, Jie Ren, Weichuan Zhang
      Pages 72-81

    9. Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer’s Disease

      • Junren Pan, Changhong Jing, Qiankun Zuo, Martin Nieuwoudt, Shuqiang Wang
      Pages 82-92

  3. Image Recognition, Detection and Classification

    1. Front Matter

      Pages 93-93
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    2. Evaluation of Post-hoc Interpretability Methods in Breast Cancer Histopathological Image Classification

      • Muhammad Waqas, Tomas Maul, Amr Ahmed, Iman Yi Liao
      Pages 95-104

    3. Red Blood Cell Detection Using Improved Mask R-CNN

      • Hongfang Pan, Han Su, Jin Chen, Ying Tong
      Pages 105-112

    4. Underwater Object Detection for Smooth and Autonomous Operations of Naval Missions: A Pilot Dataset

      • Yijun Yan, Yinhe Li, Hanhe Lin, Md Mostafa Kamal Sarker, Jinchang Ren, John McCall
      Pages 113-122

    5. RSF-SSD: An Improved SSD Algorithm Based on Multi-level Feature Enhancement

      • Weiqiang Yang, Shan Zeng, Chaoxian Liu, Hao Li, Zhen Kang
      Pages 123-132

    6. GaitMG: A Multi-grained Feature Aggregate Network for Gait Recognition

      • Jiwei Wan, Huimin Zhao, Rui Li, Rongjun Chen, Tuanjie Wei, Yongqi Ren
      Pages 133-142

    7. Saliency Detection on Graph Manifold Ranking via Multi-scale Segmentation

      • Yuxin Yao, Yucheng Jin, Zhengmei Xu, Huiling Wang
      Pages 143-153

    8. Research on Improved Algorithm of Significance Object Detection Based on ATSA Model

      • Yucheng Jin, Yuxin Yao, Huiling Wang, Yingying Feng
      Pages 154-165

    9. UAV Cross-Modal Image Registration: Large-Scale Dataset and Transformer-Based Approach

      • Yun Xiao, Fei Liu, Yabin Zhu, Chenglong Li, Futian Wang, Jin Tang
      Pages 166-176

  4. Vision and Object Tracking

    1. Front Matter

      Pages 177-177
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Other volumes

  1. Advances in Brain Inspired Cognitive Systems

Editors and Affiliations

  • Robert Gordon University, Aberdeen, UK

    Jinchang Ren, Ping Ma

  • School of Computing, Edinburgh Napier University, Edinburgh, UK

    Amir Hussain

  • University of Nottingham, Semenyih, Malaysia

    Iman Yi Liao, Thomas Maul

  • School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China

    Rongjun Chen, Huimin Zhao

  • Duke Kunshan University, Kunshan, China

    Kaizhu Huang

  • Guangdong Polytechnic Normal University, Heyuang, China

    Xiaoyong Liu

Bibliographic Information

  • Book Title: Advances in Brain Inspired Cognitive Systems

  • Book Subtitle: 13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 5–6, 2023, Proceedings

  • Editors: Jinchang Ren, Amir Hussain, Iman Yi Liao, Rongjun Chen, Kaizhu Huang, Huimin Zhao, Xiaoyong Liu, Ping Ma, … Thomas Maul

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-97-1417-9

  • 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: 978-981-97-1416-2Published: 22 May 2024

  • eBook ISBN: 978-981-97-1417-9Published: 21 May 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 402

  • Number of Illustrations: 18 b/w illustrations, 152 illustrations in colour

  • Topics: Artificial Intelligence, Machine Learning, Theory of Computation, Mathematical Logic and Foundations, Computer Applications, Simulation and Modeling

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