Gianmarco Baldini. (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 ; Volume 17 ; Issue 2 ; Pages: 60. https://doi.org/10.3390/fi17020060
ISO-690 (author-date, English)GIANMARCO BALDINI, 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 ; Volume 17 ; Issue 2 ; Pages: 60. 1 Januar 2025. DOI 10.3390/fi17020060.
Modern Language Association 9th editionGianmarco Baldini. „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 ; Volume 17 ; Issue 2 ; Pages: 60, Januar 2025, https://doi.org/10.3390/fi17020060.
Mohr Siebeck - Recht (Deutsch - Österreich)Gianmarco Baldini: 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 ; Volume 17 ; Issue 2 ; Pages: 60 2025,
Emerald - HarvardGianmarco Baldini. (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 ; Volume 17 ; Issue 2 ; Pages: 60, verfügbar unter:https://doi.org/10.3390/fi17020060.