2026-05-09T11:15:14.964Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:3:9250 2024-12-03T20:10:47Z 3

Artificial Neural Network Tuning by Improved Sine Cosine Algorithm for HealthCare 4.0, Chapter in Advances in Computer Science Research: ICIITB 2022: Proceedings of the 1st International Conference on Innovation in Information Technology and Business, Atlantic Press 2023 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/9250 https://www.atlantis-press.com/proceedings/iciitb-22/125984178 M. Gajevic N. Milutinovic J. Krstovic L. Jovanovic M. Zivkovic M. Marjanovic C. Stoean 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. bookPart Atlantic Press 289 305 10.2991/978-94-6463-110-4_21 Advances in Computer Science Research: ICIITB 2022: Proceedings of the 1st International Conference on Innovation in Information Technology and Business, Atlantic Press