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Advances in Computational Intelligence Systems

Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Nitin Naik

    1. Aston University, Birmingham, UK

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  2. Paul Jenkins

    1. Cardiff Metropolitan University, Cardiff, UK

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  3. Paul Grace

    1. Aston University, Birmingham, UK

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  4. Longzhi Yang

    1. Northumbria University, Newcastle upon Tyne, UK

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  5. Shaligram Prajapat

    1. Devi Ahilya University, Indore, India

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  • Presents recent research developments in AI, computational intelligence, and related domains
  • Provides innovative techniques in AI and computational intelligence
  • Exhibits applications of state-of-the-art AI and computational intelligence techniques

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1453)

Included in the following conference series:

Conference proceedings info: UKCI 2023.

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Table of contents (50 papers)

  1. Front Matter

    Pages i-x
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  3. Neural Networks/Deep Learning

    1. Front Matter

      Pages 39-39
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    2. Towards Reinforcement Learning for Non-stationary Environments

      • Sebastian Gregory Dal Toé, Bernard Tiddeman, Neil Mac Parthaláin
      Pages 41-52

    3. Predictive World Models for Social Navigation

      • Goodluck Oguzie, Aniko Ekart, Luis J. Manso
      Pages 53-64

    4. FireNet-Micro: Compact Fire Detection Model with High Recall

      • Simi Issac Marakkaparambil, Reshma Rameshkumar, Manju Punnanilkunnathil Dinesh, Asra Aslam, Mohammad Samar Ansari
      Pages 65-78

    5. Reward-Guided Individualised Communication for Deep Reinforcement Learning in Multi-Agent Systems

      • Yi-Yu Lin, Xiao-Jun Zeng
      Pages 79-94

    6. An Evaluation of Handwriting Digit Recognition Using Multilayer SAM Spiking Neural Network

      • Minoru Motoki, Heitaro Hirooka, Youta Murakami, Ryuji Waseda, Terumitsu Nishimuta
      Pages 95-102

    7. Exploring the Linguistic Model to Operate on Architectural Façade Illumination Design

      • Yanting Liu, Fangyi Li
      Pages 103-113

    8. Towards Accurate Rainfall Volume Prediction: An Initial Approach with Deep Learning, Advanced Feature Selection, Parameter Optimisation, and Ensemble Techniques for Time-Series Forecasting

      • Bamikole Olaleye Akinsehinde, Changjing Shang, Qiang Shen
      Pages 114-132

    9. Hierarchies of Power: Identifying Expertise in Anonymous Online Interactions

      • Amal Htait, Lucia Busso, Tim Grant
      Pages 133-139

    10. Noise Profiling for ANNs: A Bio-inspired Approach

      • Sanjay Dutta, Jay Burk, Roger Santer, Reyer Zwiggelaar, Tossapon Boongoen
      Pages 140-153

  4. Machine Learning

    1. Front Matter

      Pages 155-155
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    2. AI Generated Art: Latent Diffusion-Based Style and Detection

      • Jordan J. Bird, Chloe M. Barnes, Ahmad Lotfi
      Pages 157-169

    3. Object Detection in Heritage Archives Using a Human-in-Loop Concept

      • Surya Kasturi, Alex Shenfield, Chris Roast, Danny Le Page, Alice Broome
      Pages 170-181

    4. Semi-supervised Semantic Segmentation with Complementary Reconfirmation Mechanism

      • Yifan Xiao, Jing Dong, Qiang Zhang, Pengfei Yi, Rui Liu, Xiaopeng Wei
      Pages 182-194

    5. Towards the Use of Machine Learning Classifiers for Human Activity Recognition Using Accelerometer and Heart Rate Data from ActiGraph

      • Matthew Oyeleye, Tianhua Chen, Pan Su, Grigoris Antoniou
      Pages 195-208
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Other volumes

  1. Advances in Computational Intelligence Systems

Keywords

About this book

This book comprises the papers presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), held at Aston University, Birmingham, the UK, during 6 to 8 September 2023. UKCI is the flagship AI conference of the UK and Europe held annually. In UKCI 2023, a total of 63 papers were received from 11 countries including the UK, India, Germany, China, Japan, Australia, Italy, Thailand, Turkey, Jordan and Saudi Arabia; of these, 50 were accepted for presentation. The review process was rigorous, wherein three reviews were provided for all papers, with some having four reviews. This book highlights the latest research developments in computational intelligence and its applications. It covers both conventional and advanced techniques in fuzzy systems, neural networks, evolutionary computation, machine learning, deep learning, federated learning, data mining, cognitive computing, intelligent robotics, optimization methods, hybrid methods, and applications of computational intelligence. 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

  • Aston University, Birmingham, UK

    Nitin Naik, Paul Grace

  • Cardiff Metropolitan University, Cardiff, UK

    Paul Jenkins

  • Northumbria University, Newcastle upon Tyne, UK

    Longzhi Yang

  • Devi Ahilya University, Indore, India

    Shaligram Prajapat

Bibliographic Information

  • Book Title: Advances in Computational Intelligence Systems

  • Book Subtitle: Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK

  • Editors: Nitin Naik, Paul Jenkins, Paul Grace, Longzhi Yang, Shaligram Prajapat

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-031-47508-5

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-47507-8Published: 01 February 2024

  • eBook ISBN: 978-3-031-47508-5Published: 31 January 2024

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: X, 670

  • Number of Illustrations: 43 b/w illustrations, 225 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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