|
Vol.12, No.2, May 2023. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Deep Neural Network with Hyperparameter Tuning on Early Detection for Symptom Recognition in Suspected Covid-19
Djuniadi Djuniadi, Nur Iksan, Alfa Faridh Suni, Ahmad Fashiha Hastawan
© 2023 Djuniadi Djuniadi, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 12, Issue 2, Pages 1000-1007, ISSN 2217-8309, DOI: 10.18421/TEM122-46, May 2023.
Received: 22 February 2023. Revised: 08 May 2023.
Abstract:
The Coronavirus outbreak (COVID-19) is still a concern for the world according to WHO. Although this virus has been controlled, prevention efforts are still being carried out. Prevention of the virus can be done by identifying patients with symptoms such as fever, respiratory distress, and sore throat. This research aims to develop an early detection system through the recognition of symptoms of COVID-19 infection using thermal camera sensors combined with the DNN using Hyperparameter Tuning. The result is the DNN algorithm can be proposed as the right algorithm to detect someone suspected of COVID-19.
Keywords – Covid 19, thermal imaging, deep neural network, recurrent neural network. |
|
----------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- |