Pan-African Artificial Intelligence and Smart Systems Third Pan-African Conference, PAAISS 2024, Durban, South Africa, December 4–6, 2024, Proceedings, Part II

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.

.- 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 FA1→3 and L´evy-Flight Based FA1→3 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.