Iliadis L., Macintyre J., Jayne C., Pimenidis E. (Eds.) Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021

Springer, 2021. — 545 p. — ISBN: 978-3-030-80567-8.This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprises research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given to advances in machine learning (ML) focusing on the following approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent – long short-term memory.The application domains are related to Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.