American Psychological Association 6th edition

Mahmoudzadeh, A., Azimi, I., Rahmani, A. M., & Liljeberg, P. (2021). Lightweight Photoplethysmography Quality Assessment for Real-time Io T-based Health Monitoring using Unsupervised Anomaly Detection. Procedia Computer Science, 184, 140-147. https://doi.org/10.1016/j.procs.2021.03.025

ISO-690 (author-date, English)

MAHMOUDZADEH, Aysan, AZIMI, Iman, RAHMANI, Amir M. und LILJEBERG, Pasi, 2021. Lightweight Photoplethysmography Quality Assessment for Real-time Io T-based Health Monitoring using Unsupervised Anomaly Detection. Procedia Computer Science. 1 April 2021. Vol. 184, , p. 140-147. DOI 10.1016/j.procs.2021.03.025.

Modern Language Association 9th edition

Mahmoudzadeh, A., I. Azimi, A. M. Rahmani, und P. Liljeberg. „Lightweight Photoplethysmography Quality Assessment for Real-Time Io T-Based Health Monitoring Using Unsupervised Anomaly Detection.“. Procedia Computer Science, Bd. 184, April 2021, S. 140-7, https://doi.org/10.1016/j.procs.2021.03.025.

Mohr Siebeck - Recht (Deutsch - Österreich)

Mahmoudzadeh, Aysan/Azimi, Iman/Rahmani, Amir M./Liljeberg, Pasi: Lightweight Photoplethysmography Quality Assessment for Real-time Io T-based Health Monitoring using Unsupervised Anomaly Detection., Procedia Computer Science 2021, 140-147.

Emerald - Harvard

Mahmoudzadeh, A., Azimi, I., Rahmani, A.M. und Liljeberg, P. (2021), „Lightweight Photoplethysmography Quality Assessment for Real-time Io T-based Health Monitoring using Unsupervised Anomaly Detection.“, Procedia Computer Science, Vol. 184, S. 140-147.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.