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Pan-African Artificial Intelligence and Smart Systems: Third Pan-African Conference, PAAISS 2024, Durban, South Africa, December 46, 2024, Proceedings, Part IISuurem pilt
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Püsilink: https://www.kriso.ee/db/9783031944383.html

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.


.- 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.