Pan-African Artificial Intelligence and Smart Systems
Description
This two-volume set LNICST 631 & 632 constitutes the proceedings of the Third Pan-African Conference on Pan-African Intelligence and Smart Systems, PAAISS 2024, which was held in Durban, South Africa, during December 4-6, 2024.
The 39 full papers presented in this volume were carefully reviewed and selected from 103 submissions. They are organized according to the following topics: Part-I : Artificial Intelligence in Medicine; Smart Systems Enabling Technologies; and Artificial Intelligence-Enabled Communication Systems.Part-II : Artificial Intelligence Theory and Methods; Artificial Intelligence and Smart Systems; Remote sensing and Artificial Intelligence.
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Content
.- Artificial Intelligence Theory and Methods .
.- Scalable XAI: Towards Explainable Machine Learning Models in Distributed Systems.
.- An Ensemble of Yolov5 Models in Real-time Object Detection in Low Resource Settings.
.- Hybridizing Deep Neural Networks and Machine Learning models for Natural Scene Image Classification.
.- Ensemble CNNs for Solar Flare Image Classification.
.- Natural Language Processing in Automatic Grading of Assessments in Higher Education: A Systematic Literature Review.
.- An Attention-based Deep Learning Model for Term Extraction from Text Using BERT.
.- Artificial Intelligence and Smart Systems .
.- Temporal Analysis of Social Concerns on African Social Media: Insights from Topics, Themes, and Sentiments.
.- Real-Time Object Detection using an Ensemble of One Stage and Two Stage Object Detection Models with Dynamic Fine-tuning using Kullback-Leibler Divergence.
.- Hybrid Approach For Image Processing Based On Convolutional Neural Network In Facial Recognition System.
.- Network Anomaly Detection System Using An Attention-Based GNN.
.- Truckchain: A Blockchain-Powered IoT Real-Time Tracking System for Fuel Supply Chain Management.
.- Food Safety 4.0: The Future of Food Safety Leveraging Industry 4.0 Technologies.
.- Soil Drainage Classification Using Machine Learning Models: A Comparative Study.
.- A Comparative Analysis of FA13 and L´evy-Flight Based FA13 With Applications In Credit Card Fraud Using SMOTE Data Augmentation.
.- Juro: A Retrieval-Augmented Generation AI Chatbot for Enhancing Legal Information Access in Resource-Constrained Settings.
.- Campus WiFi Demand Prediction: A Case Study on KNUST Campus.
.- Remote sensing and Artificial Intelligence .
.- A Particle Swarm Optimization-Long-Short Term Memory (PSO-LSTM) Hybrid Model for Forecasting Global Horizontal Solar Radiation.
.- Modelling Road Networks with Node Structural Features and Graph Convolutional Networks.
.- Leveraging Machine Learning and Climate Data for Enhanced Annual Crop Production Forecasts in Senegal.
.- Road Obstacle Detection Using YOLO Algorithm based on Attention Mechanism.
.- Machine Learning-Based System for Automated Crop Damage Detection and Classification in Insurance Claims.
