Pan-African Artificial Intelligence and Smart Systems
Third Pan-African Conference, PAAISS 2024, Durban, South Africa, December 4–6, 2024, Proceedings, Part II
Series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; 632;
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 27 July 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031944383
- Binding Paperback
- No. of pages388 pages
- Size 235x155 mm
- Language English
- Illustrations XVIII, 388 p. 145 illus., 121 illus. in color. Illustrations, black & white 682
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Long 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.
Part-II : Artificial Intelligence Theory and Methods; Artificial Intelligence and Smart Systems; Remote sensing and Artificial Intelligence.
Table of Contents:
.- 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.
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