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Advances in Computational Intelligence Systems

Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Zhaojie Ju

    1. School of Computing, University of Portsmouth, Portsmouth, UK

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  2. Longzhi Yang

    1. Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK

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  3. Chenguang Yang

    1. Bristol Robotics Laboratory, University of the West of England, Bristol, UK

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  4. Alexander Gegov

    1. School of Computing, University of Portsmouth, Portsmouth, UK

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  5. Dalin Zhou

    1. School of Computing, University of Portsmouth, Portsmouth, UK

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  • Highlights the latest research on Computational Intelligence Systems
  • Covers a wide range of application areas
  • Collects edited contributions presented at the 19th UK Workshop on Computational Intelligence, held in Portsmouth, UK on 4–6 September 2019

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1043)

Included in the following conference series:

Conference proceedings info: UKCI 2019.

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Table of contents (45 papers)

  1. Front Matter

    Pages i-xv
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  2. Fuzzy Systems

    1. Front Matter

      Pages 1-1
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    2. Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey

      • Raheleh Jafari, Sina Razvarz, Alexander Gegov, Wen Yu
      Pages 3-14

    3. Fuzzy Feature Representation with Bidirectional Long Short-Term Memory for Human Activity Modelling and Recognition

      • Gadelhag Mohmed, David Ada Adama, Ahmad Lotfi
      Pages 15-26

    4. Single Frame Image Super Resolution Using ANFIS Interpolation: An Initial Experiment-Based Approach

      • Muhammad Ismail, Jing Yang, Changjing Shang, Qiang Shen
      Pages 27-40

    5. \(L_{1}\)-Induced Static Output Feedback Controller Design and Stability Analysis for Positive Polynomial Fuzzy Systems

      • Aiwen Meng, Hak-Keung Lam, Liang Hu, Fucai Liu
      Pages 41-52

    6. Curvature-Based Sparse Rule Base Generation for Fuzzy Interpolation Using Menger Curvature

      • Zheming Zuo, Jie Li, Longzhi Yang
      Pages 53-65

  3. Intelligence in Robotics

    1. Front Matter

      Pages 67-67
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    2. A Method of Intention Estimation for Human-Robot Interaction

      • Jing Luo, Chao Liu, Ning Wang, Chenguang Yang
      Pages 69-80

    3. A Hybrid Human Motion Prediction Approach for Human-Robot Collaboration

      • Yanan Li, Chenguang Yang
      Pages 81-91

    4. A Robotic Chinese Stroke Generation Model Based on Competitive Swarm Optimizer

      • Quanfeng Li, Chao Fei, Xingen Gao, Longzhi Yang, Chih-Min Lin, Changjing Shang et al.
      Pages 92-103

  4. Deep Learning Approaches

    1. Front Matter

      Pages 105-105
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    2. A Two-Stream CNN Framework for American Sign Language Recognition Based on Multimodal Data Fusion

      • Qing Gao, Uchenna Emeoha Ogenyi, Jinguo Liu, Zhaojie Ju, Honghai Liu
      Pages 107-118

    3. DeepSwarm: Optimising Convolutional Neural Networks Using Swarm Intelligence

      • Edvinas Byla, Wei Pang
      Pages 119-130

    4. Single-Grasp Detection Based on Rotational Region CNN

      • Shan Jiang, Xi Zhao, Zhenhua Cai, Kui Xiang, Zhaojie Ju
      Pages 131-141

    5. Interpreting the Filters in the First Layer of a Convolutional Neural Network for Sleep Stage Classification

      • Gulrukh Turabee, Yuan Shen, Georgina Cosma
      Pages 142-154

    6. Gradient Boost with Convolution Neural Network for Stock Forecast

      • Jialin Liu, Chih-Min Min Lin, Fei Chao
      Pages 155-165

    7. Urban Village Identification from City-Wide Satellite Images Leveraging Mask R-CNN

      • Xueyi Wang, Tianqi Xie, Longbiao Chen
      Pages 166-172

    8. Surface Crack Detection Using Hierarchal Convolutional Neural Network

      • Davis Bonsu Agyemang, Mohamed Bader
      Pages 173-186

  5. Optimisation and Classification

    1. Front Matter

      Pages 187-187
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Other volumes

  1. Advances in Computational Intelligence Systems

Keywords

About this book

This book highlights the latest research in computational intelligence and its applications. It covers both conventional and trending approaches in individual chapters on Fuzzy Systems, Intelligence in Robotics, Deep Learning Approaches, Optimization and Classification, Detection, Inference and Prediction, Hybrid Methods, Emerging Intelligence, Intelligent Health Care, and Engineering Data- and Model-Driven Applications. All chapters are based on peer-reviewed contributions presented at the 19th Annual UK Workshop on Computational Intelligence, held in Portsmouth, UK, on 4–6 September 2019.

The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art.

Editors and Affiliations

  • School of Computing, University of Portsmouth, Portsmouth, UK

    Zhaojie Ju, Alexander Gegov, Dalin Zhou

  • Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK

    Longzhi Yang

  • Bristol Robotics Laboratory, University of the West of England, Bristol, UK

    Chenguang Yang

Bibliographic Information

  • Book Title: Advances in Computational Intelligence Systems

  • Book Subtitle: Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK

  • Editors: Zhaojie Ju, Longzhi Yang, Chenguang Yang, Alexander Gegov, Dalin Zhou

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-29933-0

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-29932-3Published: 30 August 2019

  • eBook ISBN: 978-3-030-29933-0Published: 29 August 2019

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XV, 556

  • Number of Illustrations: 67 b/w illustrations, 159 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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