Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021

Abstract

This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-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.

Citation

Iliadis, L., Macintyre, J., Jayne, C., & Pimenidis, E. (Eds.). (2021). Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021. Springer. https://doi.org/10.1007/978-3-030-80568-5

• Book Type: Edited Book
• Online Publication Date: Jun 30, 2021
• Publication Date: 2021
• Deposit Date: Jul 1, 2021
• Publisher: Springer
• Series Title: Proceedings of the International Neural Networks Society
• Series Number: 3
• Series ISSN: 2661-8141
• Edition: 1
• Book Title: Proceedings of the International Neural Networks Society
• ISBN: 9783030805678
• DOI: https://doi.org/10.1007/978-3-030-80568-5
• Public URL: https://uwe-repository.worktribe.com/output/7502925