Improving Thermal Camera Performance in Fever Detection during COVID-19 Protocol with Random Forest Classification-Reference-Cited by-同舟云学术

Improving Thermal Camera Performance in Fever Detection during COVID-19 Protocol with Random Forest Classification

Published:2021-10-13 Issue: Volume: Page:
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Container-title:2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)
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Author:

Putrada Aji Gautama¹,Perdana Doan¹

Affiliation:

1. Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9701913/9701933/09702045.pdf?arnumber=9702045

Reference27 articles.

1. Using Statistical Regression and Classification Methods to Predict Human Body Temperature and Presence of Fever;zhang,0

2. Ensemble Learning on Large Scale Financial Imbalanced Data

3. Formation lithology classification using scalable gradient boosted decision trees

4. Test, test, test for COVID-19 antibodies: the importance of sensitivity, specificity and predictive powers

5. Effect of Niacin in the Prevention of Acute Kidney Injury after Cardiac Surgery by Measuring Urine QPRT and Albumin/Creatinine Ratio;ghazwantalalmahde;Annals of the Romanian Society for Cell Biology,2021

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