A systematic approach to predict the behavior of cough droplets using feedforward neural networks method

• Main Authors: Bahiuddin, I., Wibowo, S. B., Syairaji, M., Putra, J. T., Pandito, C. A., Maulana, A. F., Prastica, R. M. S., Nazmi, N.
• Format: Article
• Language: English
• Published: MDPI AG 2021
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/95019/1/NurhazimahNazmi2021_ASystematicApproachtoPredict.pdf; http://eprints.utm.my/id/eprint/95019/; http://dx.doi.org/10.3390/fluids6020076

Coronavirus disease 2019 (Covid-19) has been identified as being transmitted among humans with droplets from breath, cough, and sneezes. Understanding the droplets’ behavior can be critical information to avoid disease transmission, especially while designing a device deals with human air respirator...