Hajdarevic, K. (2024). Io T-Based Machine Learning System for Physical Intrusion Detection Using Dynamic Temperature and Humidity Observations With Raspberry Pi. TEM Journal, 13(2), 918-925. https://doi.org/10.18421/TEM132-08
ISO-690 (author-date, English)HAJDAREVIC, Kemal, 2024. Io T-Based Machine Learning System for Physical Intrusion Detection Using Dynamic Temperature and Humidity Observations With Raspberry Pi. TEM Journal. 1 May 2024. Vol. 13, no. 2, p. 918-925. DOI 10.18421/TEM132-08.
Modern Language Association 9th editionHajdarevic, K. “Io T-Based Machine Learning System for Physical Intrusion Detection Using Dynamic Temperature and Humidity Observations With Raspberry Pi.”. TEM Journal, vol. 13, no. 2, May 2024, pp. 918-25, https://doi.org/10.18421/TEM132-08.
Mohr Siebeck - Recht (Deutsch - Österreich)Hajdarevic, Kemal: Io T-Based Machine Learning System for Physical Intrusion Detection Using Dynamic Temperature and Humidity Observations With Raspberry Pi., TEM Journal 2024, 918-925.
Emerald - HarvardHajdarevic, K. (2024), “Io T-Based Machine Learning System for Physical Intrusion Detection Using Dynamic Temperature and Humidity Observations With Raspberry Pi.”, TEM Journal, Vol. 13 No. 2, pp. 918-925.