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Pan-African Conference on Artificial Intelligence

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Table of Contents

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    Book Overview
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    Chapter 1 Robust Cough Analysis System for Diagnosis of Tuberculosis Using Artificial Neural Network
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    Chapter 2 A Multi-input Architecture for the Classification of Skin Lesions Using ResNets and Metadata
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    Chapter 3 Data Management Strategy for AI Deployment in Ethiopian Healthcare System
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    Chapter 4 AI-Based Heart Disease and Brain Stroke Prediction Using Multi-modal Patient Data
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    Chapter 5 Lung Tumor Detection and Recognition Using Deep Convolutional Neural Networks
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    Chapter 6 Tomato Leaf Disease Detection and Classification Using Custom Modified AlexNet
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    Chapter 7 Wheat Yield Prediction Using Machine Learning: A Survey
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    Chapter 8 Small Training Datasets for Deep Learning Based Medical Diagnosis
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    Chapter 9 Using Generative Adversarial Networks for Single Image Super-Resolution
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    Chapter 10 Model Compression Techniques in Deep Neural Networks
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    Chapter 11 Convolution Filter Equivariance/Invariance in Convolutional Neural Networks: A Survey
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    Chapter 12 Deep Learning Models for Audio Processing Applications Under Resource-Constrained Devices: A Survey
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    Chapter 13 Offline Handwritten Amharic Character Recognition Using Few-Shot Learning
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    Chapter 14 Morpheme Based Amharic-Kistanigna Bi-directional Machine Translation Using Deep Learning
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    Chapter 15 Benefits and Challenges of Industry 4.0 in African Emerging Economies
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    Chapter 16 Classification and Detection of Prohibited Objects in X-Ray Baggage Security Images
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Title
Pan-African Conference on Artificial Intelligence
Published by
Springer Nature Switzerland, June 2023
DOI 10.1007/978-3-031-31327-1
ISBNs
978-3-03-131326-4, 978-3-03-131327-1
Editors

Girma Debelee, Taye, Ibenthal, Achim, Schwenker, Friedhelm

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