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Pan-African Artificial Intelligence and Smart Systems

First International Conference, PAAISS 2021, Windhoek, Namibia, September 6-8, 2021, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Telex Magloire N. Ngatched

    1. Memorial University of Newfoundland, Corner Brook, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Isaac Woungang

    1. Department of Computer Science, Ryerson University, Toronto, Canada

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    You can also search for this editor in PubMed   Google Scholar

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Conference proceedings info: PAAISS 2022.

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About this book

This book constitutes the refereed post-conference proceedings of the First International Conference on Pan-African Intelligence and Smart Systems, PAAISS 2021, which was held in Windhoek, Namibia, in September 2021.
The 17 revised full papers presented were carefully selected from 41 submissions. The theme of PAAISS 2021 was “Advancing AI research in Africa” and the papers are arranged according to subject areas: Deep Learning; Classification and Pattern Recognition; Neural Networks and Support Vector Machines; Smart Systems.


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Table of contents (17 papers)

  1. Front Matter

    Pages i-xi
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  2. Deep Learning

    1. Front Matter

      Pages 1-1
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    2. A Critical Analysis of Deep Learning Architectures for Classifying Breast Cancer Using Histopathology Images

      • Yusuf Seedat, Dustin van der Haar
      Pages 3-17

    3. A Patch-Based Convolutional Neural Network for Localized MRI Brain Segmentation

      • Trevor Constantine Vambe, Serestina Viriri, Mandlenkosi Gwetu
      Pages 18-32

    4. Facial Recognition Through Localized Siamese Convolutional Neural Networks

      • Leenane Tinashe Makurumure, Mandlenkosi Gwetu
      Pages 33-51

  3. Classification and Pattern Recognition

    1. Front Matter

      Pages 53-53
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    2. Face Recognition in Databases of Images with Hidden Markov’s Models

      • Mb. Amos Mbietieu, Hippolyte Michel Tapamo Kenfack, V. Eone Oscar Etoua, Essuthi Essoh Serge Leonel, Mboule Ebele Brice Auguste
      Pages 55-73

    3. Brain MRI Segmentation Using Autoencoders

      • Kishan Jackpersad, Mandlenkosi Gwetu
      Pages 74-93

    4. Effective Feature Selection for Improved Prediction of Heart Disease

      • Ibomoiye Domor Mienye, Yanxia Sun
      Pages 94-107

    5. Convolutional Neural Network Feature Extraction for EEG Signal Classification

      • Liresh Kaulasar, Mandlenkosi Gwetu
      Pages 108-119

    6. Race Recognition Using Enhanced Local Binary Pattern

      • Eone Etoua Oscar Vianney, Tapamo Kenfack Hippolyte Michel, Mboule Ebele Brice Auguste, Mbietieu Amos Mbietieu, Essuthi Essoh Serge Leonel
      Pages 120-136

    7. Detection and Classification of Coffee Plant Diseases by Image Processing and Machine Learning

      • Serge Leonel Essuthi Essoh, Hippolyte Michel Tapamo Kenfack, Brice Auguste Mboule Ebele, Amos Mbietieu Mbietieu, Oscar Vianney Eone Etoua
      Pages 137-149

    8. Plant Diseases Detection and Classification Using Transfer Learning

      • Emma Genders, Serestina Viriri
      Pages 150-166

  4. Neural Networks and Support Vector Machines

    1. Front Matter

      Pages 167-167
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    2. Hybridised Loss Functions for Improved Neural Network Generalisation

      • Matthew C. Dickson, Anna S. Bosman, Katherine M. Malan
      Pages 169-181

    3. Diverging Hybrid and Deep Learning Models into Predicting Students’ Performance in Smart Learning Environments – A Review

      • Elliot Mbunge, Stephen Fashoto, Racheal Mafumbate, Sanelisiwe Nxumalo
      Pages 182-202

    4. Combining Multi-Layer Perceptron and Local Binary Patterns for Thermite Weld Defects Classification

      • Mohale Emmanuel Molefe, Jules-Raymond Tapamo
      Pages 203-216

  5. Smart Systems

    1. Front Matter

      Pages 217-217
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    2. An Elliptic Curve Biometric Based User Authentication Protocol for Smart Homes Using Smartphone

      • Amir Mohammadi Bagha, Isaac Woungang, Sanjay Kumar Dhurandher, Issa Traore
      Pages 219-236

    3. Efficient Subchannel and Power Allocation in Multi-cell Indoor VLC Systems

      • Sylvester Aboagye, Telex Magloire N. Ngatched, Octavia A. Dobre
      Pages 237-247
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Other volumes

  1. Pan-African Artificial Intelligence and Smart Systems

Editors and Affiliations

  • Memorial University of Newfoundland, Corner Brook, Canada

    Telex Magloire N. Ngatched

  • Department of Computer Science, Ryerson University, Toronto, Canada

    Isaac Woungang

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