American Psychological Association 6th edition

Baldini, G. (2025). On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in Ultra Wide Band (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) Classification. Future Internet, 17(2), 60-82. https://doi.org/10.3390/fi17020060

ISO-690 (author-date, English)

BALDINI, Gianmarco, 2025. On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in Ultra Wide Band (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) Classification. Future Internet. 1 Februar 2025. Vol. 17, no. 2, p. 60-82. DOI 10.3390/fi17020060.

Modern Language Association 9th edition

Baldini, G. „On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in Ultra Wide Band (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) Classification.“. Future Internet, Bd. 17, Nr. 2, Februar 2025, S. 60-82, https://doi.org/10.3390/fi17020060.

Mohr Siebeck - Recht (Deutsch - Österreich)

Baldini, Gianmarco: On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in Ultra Wide Band (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) Classification., Future Internet 2025, 60-82.

Emerald - Harvard

Baldini, G. (2025), „On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in Ultra Wide Band (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) Classification.“, Future Internet, Vol. 17 No. 2, S. 60-82.

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