Pan-African Artificial Intelligence and Smart Systems [electronic resource] : First International Conference, PAAISS 2021, Windhoek, Namibia, September 6-8, 2021, Proceedings /

Deep Learning -- A Critical Analysis of Deep Learning Architectures For Classifying Breast Cancer Using Histopathology Images -- Patch-based Convolutional Neural Network for Localized MRI Brain Segmentation -- Facial Recognition through Localized Siamese Convolutional Neural Networks -- Classification and Pattern Recognition 4 Face Recognition In Databases of images With Hidden Markov’s Models -- Brain MRI Segmentation using Autoencoders -- Effective Feature Selection for Improved Prediction of Heart Disease -- Convolutional Neural Network Feature Extraction for EEG Signal Classification -- Contents 8 Race recognition using enhanced local binary pattern -- Detection and Classiffication of Coffee Plant Diseases by Image Processing and Machine Learning -- Plant Diseases Detection and Classification using Transfer Learning -- Neural Networks and Support Vector Machines -- Hybridised Loss Functions for Improved Neural Network Generalisation -- Diverging Hybrid and Deep Learning Models into Predicting Students’ Performance in Smart Learning Environments -- Combining Multi-Layer Perceptron and Local Binary Patterns for Thermite Weld Defects Classiffcation -- An Elliptic Curve Biometric based User Authentication Protocol for Smart Homes using Smartphone -- Efficient Subchannel and Power Allocation in Multi-cell Indoor VLC Systems Sylvester -- Autonomic IoT: Towards Smart System Components with Cognitive IoT Justice -- Study of Customer Sentiment towards Smart Lockers Colette.

This book constitutes the refereed post-conference proceedings of the First International Conference on Pan-African Intelligence and Smart Systems, PAAISS 2021, which was held in Windhoek, Namibia, in September 2021. The 17 revised full papers presented were carefully selected from 41 submissions. The theme of PAAISS 2021 was “Advancing AI research in Africa” and the papers are arranged according to subject areas: Deep Learning; Classification and Pattern Recognition; Neural Networks and Support Vector Machines; Smart Systems.