Advances in Computational Intelligence: 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I

Advances in Computational Intelligence: 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I

Advances in Computational Intelligence: 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I

Advances in Computational Intelligence: 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I

Paperback(1st ed. 2021)

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Overview

This two-volume set LNCS 12861 and LNCS 12862 constitutes the refereed proceedings of the 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, held virtually, in June 2021.

The 85 full papers presented in this two-volume set were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections on Deep Learning for Biomedicine, Intelligent Computing Solutions for SARS-CoV-2 Covid-19, Advanced Topics in Computational Intelligence, Biosignals Processing, Neuro-Engineering and much more.


Product Details

ISBN-13: 9783030850296
Publisher: Springer International Publishing
Publication date: 08/21/2021
Series: Lecture Notes in Computer Science , #12861
Edition description: 1st ed. 2021
Pages: 624
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Information fusion in Deep Learning for Biomedicine.- Intelligent Computing Solutions for SARS-CoV-2 Covid-19 (INClutions COVID-19).- Advanced Topics in Computational Intelligence.- Biosignals Processing.- Deep Learning.- Meta-Learning and Other Automatic Learning Approaches in Intelligent Systems.- Artificial Intelligence and Biomedicine.- Convolutional Neural Networks: Beyond Traditional Solutions.- Bio-inspired Systems and Neuro-Engineering.- Agent-Based Models for Policy Design Towards a More Sustainable World.- Randomization in Deep Learning.- Neural Networks for Time Series Forecasting.- Applications in Artificial Intelligence.
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