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Pan-African Conference on Artificial Intelligence

Second Conference, PanAfriCon AI 2023, Addis Ababa, Ethiopia, October 5–6, 2023, Revised Selected Papers, Part I

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Taye Girma Debelee

    1. Ethiopian Artificial Intelligence Instit, Addis Adaba, Ethiopia

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  2. Achim Ibenthal

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

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  3. Friedhelm Schwenker

    1. Universität Ulm, Ulm, Germany

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  4. Yehualashet Megersa Ayano

    1. Ethiopian Artificial Intelligence Instit, Addis Ababa, Ethiopia

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2068)

Included in the following conference series:

Conference proceedings info: PanAfriConAI 2023.

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About this book

This two-volume set, CCIS 2068 and 2069, constitutes selected papers presented during the Second Pan-African Conference on Artificial Intelligence, PanAfriCon AI 2023, held in Addis Ababa, Ethiopia, in October 2023. The set goal of the conference is to  exchange the best practices of joint Pan-African efforts to provide solutions for Africa’s key 21st century challenges in the social, economic and ecologic domains.
The 29 papers were thoroughly reviewed and selected from 134 submissions.
The papers are organized in the following topical sections: Medical AI; Natural Language Processing, Text and Speech Processing; AI in Finance and Cyber Security; Autonomous Vehicles; AI Ethics and Life Sciences.

Keywords

Table of contents (15 papers)

  1. Front Matter

    Pages i-xvi
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  2. Medical AI

    1. Front Matter

      Pages 1-1
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    2. Machine Learning Based Stroke Segmentation and Classification from CT-Scan: A Survey

      • Elbetel Taye Zewde, Mersibon Melese Motuma, Yehualashet Megersa Ayano, Taye Girma Debelee, Degaga Wolde Feyisa
      Pages 3-45

    3. Multitask Deep Convolutional Neural Network with Attention for Pulmonary Tuberculosis Detection and Weak Localization of Pathological Manifestations in Chest X-Ray

      • Degaga Wolde Feyisa, Yehualashet Megersa Ayano, Taye Girma Debelee, Samuel Sisay Hailu
      Pages 46-59

    4. Automated Kidney Segmentation and Disease Classification Using CNN-Based Models

      • Akalu Abraham, Misganu Tuse, Million Meshesha
      Pages 60-72

    5. Generating Synthetic Brain Tumor Data Using StyleGAN3 for Lower Class Enhancement

      • Ahmed Abdalaziz, Friedhelm Schwenker
      Pages 73-87

    6. Optimized Machine Learning Models for Hepatitis C Prediction: Leveraging Optuna for Hyperparameter Tuning and Streamlit for Model Deployment

      • Uriel Nguefack Yefou, Pauline Ornela Megne Choudja, Binta Sow, Abduljaleel Adejumo
      Pages 88-100

    7. Explainable Rhythm-Based Heart Disease Detection from ECG Signals

      • Dereje Degeffa Demissie, Fitsum Assamnew Andargie
      Pages 101-116

    8. Development of an Explainable Heart Failure Patients Survival Status Prediction Model Using Machine Learning Algorithms

      • Betimihirt Getnet Tsehay Demis, Abdulkerim M. Yibre
      Pages 117-137

  3. Natural Language Processing, Text and Speech Processing

    1. Front Matter

      Pages 139-139
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    2. Transfer of Models and Resources for Under-Resourced Languages Semantic Role Labeling

      • Yesuf Mohamed, Wolfgang Menzel
      Pages 141-153

    3. Speaker Identification Under Noisy Conditions Using Hybrid Deep Learning Model

      • Wondimu Lambamo, Ramasamy Srinivasagan, Worku Jifara
      Pages 154-175

    4. State-of-the-Art Approaches to Word Sense Disambiguation: A Multilingual Investigation

      • Robbel Habtamu, Beakal Gizachew
      Pages 176-202

    5. Ge’ez Syntax Error Detection Using Deep Learning Approaches

      • Habtamu Shiferaw Asmare, Abdulkerim Mohammed Yibre
      Pages 203-220

    6. Tigrinya End-to-End Speech Recognition: A Hybrid Connectionist Temporal Classification-Attention Approach

      • Bereket Desbele Ghebregiorgis, Yonatan Yosef Tekle, Mebrahtu Fisshaye Kidane, Mussie Kaleab Keleta, Rutta Fissehatsion Ghebraeb, Daniel Tesfai Gebretatios
      Pages 221-236

    7. DNN-Based Supervised Spontaneous Court Hearing Transcription for Amharic

      • Martha Yifiru Tachbelie, Solomon Teferra Abate, Rosa Tsegaye Aga, Rahel Mekonnen, Hiwot Mulugeta, Abel Mulat et al.
      Pages 237-249

    8. Typewritten OCR Model for Ethiopic Characters

      • Bereket Siraw Deneke, Rosa Tsegaye Aga, Mesay Samuel, Abel Mulat, Ashenafi Mulat, Abel Abebe et al.
      Pages 250-261

    9. Compressed Amharic Text: A Prediction by Partial Match Context-Modeling Algorithm

      • Yalemsew Abate Tefera, Tsegamlak Terefe Debella, Habib Mohammed Hussien, Dereje Hailemariam Woldegebreal
      Pages 262-279

  4. Back Matter

    Pages 281-282
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Other volumes

  1. Pan-African Conference on Artificial Intelligence

  2. Pan-African Conference on Artificial Intelligence

Editors and Affiliations

  • Ethiopian Artificial Intelligence Instit, Addis Adaba, Ethiopia

    Taye Girma Debelee

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

    Achim Ibenthal

  • Universität Ulm, Ulm, Germany

    Friedhelm Schwenker

  • Ethiopian Artificial Intelligence Instit, Addis Ababa, Ethiopia

    Yehualashet Megersa Ayano

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