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Pan-African Conference on Artificial Intelligence

First Conference, PanAfriCon AI 2022, Addis Ababa, Ethiopia, October 4–5, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Taye Girma Debelee

    1. Ethiopian Artificial Intelligence Institute, Addis Ababa, Ethiopia

  2. Achim Ibenthal

    1. HAWK University of Applied Sciences and Arts, Göttingen, Germany

  3. Friedhelm Schwenker

    1. University of Ulm, Ulm, Germany

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1800)

Included in the following conference series:

Conference proceedings info: PanAfriCon AI 2022.

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About this book

This volume consitutes selected papers presented during the First Pan-African Conference on Artificial Intelligence, PanAfriCon AI 2022, held in Addis Ababa, Ethiopia, in October 2022. 

The 16 papers were thoroughly reviewed and selected from the 49 qualified submissions. The papers are organized in the following topical sections: ​AI in public health; agriculture; algorithmic optimization; human-machine interaction; economy and security.

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Table of contents (16 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. AI in Public Health

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Robust Cough Analysis System for Diagnosis of Tuberculosis Using Artificial Neural Network

      • Amsalu Fentie Jember, Yehualashet Megersa Ayano, Taye Girma Debelee
      Pages 3-26

    3. A Multi-input Architecture for the Classification of Skin Lesions Using ResNets and Metadata

      • Fraol Gelana Waldamichael, Samuel Rahimeto Kebede, Yehualashet Megersa Ayano, Messay Tesfaye Demissie, Taye Girma Debelee
      Pages 27-49

    4. Data Management Strategy for AI Deployment in Ethiopian Healthcare System

      • Shimelis Assefa
      Pages 50-66

    5. AI-Based Heart Disease and Brain Stroke Prediction Using Multi-modal Patient Data

      • Gizeaddis Lamesgin Simegn, Mizanu Zelalem Degu
      Pages 67-78

    6. Lung Tumor Detection and Recognition Using Deep Convolutional Neural Networks

      • Shehabeldin Solyman, Friedhelm Schwenker
      Pages 79-91

  3. Agriculture

    1. Front Matter

      Pages 93-93
      Download chapter PDF

    2. Tomato Leaf Disease Detection and Classification Using Custom Modified AlexNet

      • Dereje Hinsermu Senbatu, Birhanu Shimelis Girma, Yehualashet Megersa Ayano
      Pages 95-113

    3. Wheat Yield Prediction Using Machine Learning: A Survey

      • Taye Girma Debelee, Samuel Rahimeto Kebede, Fraol Gelana Waldamichael, Daniel Moges Tadesse
      Pages 114-132

  4. Algorithmic Optimization

    1. Front Matter

      Pages 133-133
      Download chapter PDF

    2. Small Training Datasets for Deep Learning Based Medical Diagnosis

      • David Härer, Konrad Kraft, Achim Ibenthal
      Pages 135-153

    3. Using Generative Adversarial Networks for Single Image Super-Resolution

      • Marwan Farag, Friedhelm Schwenker
      Pages 154-168

    4. Model Compression Techniques in Deep Neural Networks

      • Mubarek Mohammed Yesuf, Beakal Gizachew Assefa
      Pages 169-190

    5. Convolution Filter Equivariance/Invariance in Convolutional Neural Networks: A Survey

      • Sinshaw Bekele Habte, Achim Ibenthal, Ephrem Tehsale Bekele, Taye Girma Debelee
      Pages 191-205

  5. Human-Machine Interaction

    1. Front Matter

      Pages 207-207
      Download chapter PDF

    2. Deep Learning Models for Audio Processing Applications Under Resource-Constrained Devices: A Survey

      • Taye Girma Debelee, Yehualashet Megersa Ayano
      Pages 209-232

    3. Offline Handwritten Amharic Character Recognition Using Few-Shot Learning

      • Mesay Samuel, Lars Schmidt-Thieme, D. P. Sharma, Abiot Sinamo, Abey Bruck
      Pages 233-244

    4. Morpheme Based Amharic-Kistanigna Bi-directional Machine Translation Using Deep Learning

      • Mengistu Kinfe Negia, Rahel Mekonen Tamiru, Million Meshesha
      Pages 245-257

  6. Economy and Security

    1. Front Matter

      Pages 259-259
      Download chapter PDF
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Other volumes

  1. Pan-African Conference on Artificial Intelligence

Editors and Affiliations

  • Ethiopian Artificial Intelligence Institute, Addis Ababa, Ethiopia

    Taye Girma Debelee

  • HAWK University of Applied Sciences and Arts, Göttingen, Germany

    Achim Ibenthal

  • University of Ulm, Ulm, Germany

    Friedhelm Schwenker

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Bibliographic Information

  • Book Title: Pan-African Conference on Artificial Intelligence

  • Book Subtitle: First Conference, PanAfriCon AI 2022, Addis Ababa, Ethiopia, October 4–5, 2022, Revised Selected Papers

  • Editors: Taye Girma Debelee, Achim Ibenthal, Friedhelm Schwenker

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-031-31327-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0), Springer Nature Proceedings Computer Science

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-31326-4Published: 26 May 2023

  • eBook ISBN: 978-3-031-31327-1Published: 25 May 2023

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XX, 297

  • Number of Illustrations: 32 b/w illustrations, 86 illustrations in colour

  • Topics: Artificial Intelligence

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