Pan-African Conference on Artificial Intelligence : Second Conference, PanAfriCon AI 2023, Addis Ababa, Ethiopia, October 5–6, 2023, Revised Selected Papers, Part I / edited by Taye Girma Debelee, Achim Ibenthal, Friedhelm Schwenker, Yehualashet Megersa Ayano.

Format:

Book

Contributor:

Girma Debelee, Taye, editor.

Series:

Communications in Computer and Information Science, 1865-0937 ; 2068

Language:

English

Subjects (All):

Artificial intelligence.

Machine learning.

Robotics.

Natural language processing (Computer science).

Application software.

Image processing--Digital techniques.

Image processing.

Computer vision.

Artificial Intelligence.

Machine Learning.

Natural Language Processing (NLP).

Computer and Information Systems Applications.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Local Subjects:

Artificial Intelligence.

Machine Learning.

Robotics.

Natural Language Processing (NLP).

Computer and Information Systems Applications.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Physical Description:

1 online resource (294 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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.

Contents:

Machine learning based stroke segmentation and classification from CT-Scan: A survey

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

Automated Kidney Segmentation and Disease Classification Using CNN-based Models

Generating Synthetic Brain Tumor Data using StyleGAN3 For Lower Class Enhancement

Optimized Machine Learning models for hepatitis C prediction: Leveraging Optuna for Hyperparameter Tuning and Streamlit for Model deployment

Explainable Rhythm-based Heart Disease Detection from ECG Signals

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

Natural Language Processing, Text and Speech Processing

Transfer of models and resources for under-resourced languages Semantic Role Labeling

Speaker Identification under Noisy Conditions using Hybrid Deep Learning Model

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

Ge’ez Syntax Error Detection Using Deep Learning Approaches

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

DNN-based Supervised Spontaneous Court Hearing Transcription for Amharic

Typewritten OCR Model for Ethiopic Characters

Compressed Amharic Text: A Prediction by Partial Match Context-modeling Algorithm

AI in Finance and Cyber Security

Improving the Accuracy of Financial Bankruptcy Prediction using Ensemble Learning Techniques

Deep Learning and Machine Learning Techniques for Credit Scoring: A Review

MoMTSim Platform

An Investigation and Analysis of Vulnerabilities Surrounding Cryptocurrencies and Blockchain Technology

Towards a Supervised Machine Learning Algorithm for Cyberattacks Detectionand Prevention in a Smart Grid Cybersecurity System

Classification of DGA-Based Malware Using Deep Hybrid Learning

A Review and Analysis of Cybersecurity Threats and Vulnerabilities, by Development of a Fuzzy Rule-Based Expert System

Autonomous Vehicles

Neural Network Based Model Reference Adaptive Control of Quadrotor UAV for Precision Agriculture

AI Ethics and Life Sciences

Systems Thinking Application to Ethical and Privacy Considerations in AI-Enabled Syndromic Surveillance Systems: Requirements for Under-Resourced Countries in Southern Africa

Fake vs. Real Face Discrimination Using Convolutional Neural Networks

Hybrid of Ensemble Machine Learning and Nature-Inspired Algorithms.

Notes:

Includes bibliographical references and index.

ISBN:

9783031576249

3031576241

OCLC:

1429311866