Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)

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Artificial Neural Network Tuning by Improved Sine Cosine Algorithm for HealthCare 4.0

Authors
Masa Gajevic1, Nemanja Milutinovic1, Jelena Krstovic1, Luka Jovanovic1, Miodrag Zivkovic1, *, Marina Marjanovic1, Catalin Stoean2
1Singidunum University, Danijelova 32, 11000, Belgrade, Serbia
2Faculty of Sciences, University of Craiova, Str. A.I. Cuza, Nr. 13, 200585, Craiova, Romania
*Corresponding author. Email: mzivkovic@singidunum.ac.rs
Corresponding Author
Miodrag Zivkovic
Available Online 30 January 2023.
DOI
10.2991/978-94-6463-110-4_21How to use a DOI?
Keywords
Healthcare 4.0; Sine Cosine Algorithm; Artificial intelligence; Optimization; Metaheuristics
Abstract

This paper explores classification of datasets for Healthcare 4.0 using artificial neural networks which are tuned by improved sine cosine algorithm (SCA). Healthcare 4.0 themes include internet of things (IoT), industrial IoT (IIoT), cognitive computing, artificial intelligence, cloud computing, fog computing, edge computing, and other industry 4.0 procedures. Health issues identification are critical since prompt treatment improves the quality of life for individuals affected. One of the most difficult challenges for artificial intelligence (AI) is selecting control parameters that are appropriate for the situation at hand. This paper presents a metaheuristics-based method for training the artificial neural network, by utilizing the SCA.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)
Series
Advances in Computer Science Research
Publication Date
30 January 2023
ISBN
978-94-6463-110-4
ISSN
2352-538X
DOI
10.2991/978-94-6463-110-4_21How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Masa Gajevic
AU  - Nemanja Milutinovic
AU  - Jelena Krstovic
AU  - Luka Jovanovic
AU  - Miodrag Zivkovic
AU  - Marina Marjanovic
AU  - Catalin Stoean
PY  - 2023
DA  - 2023/01/30
TI  - Artificial Neural Network Tuning by Improved Sine Cosine Algorithm for HealthCare 4.0
BT  - Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)
PB  - Atlantis Press
SP  - 289
EP  - 305
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-110-4_21
DO  - 10.2991/978-94-6463-110-4_21
ID  - Gajevic2023
ER  -