Proceedings of the 22nd Engineering Applications of Neural Networks Conference (Paperback)

Lazaros Iliadis

ISBN 10: 3030805670 / ISBN 13: 9783030805678

Published by Springer Nature Switzerland AG, Cham, 2021

About this Item

Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783030805678

Bibliographic Details

• Title: Proceedings of the 22nd Engineering Applications of Neural Networks Conference (Paperback)
• Publisher: Springer Nature Switzerland AG, Cham
• Publication Date: 2021
• Language: English
• ISBN 10: 3030805670
• ISBN 13: 9783030805678
• Binding: Paperback
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

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.