Pérez, Borja; Resino, Mario; Seco, Teresa; García, Fernando; Al-Kaff, Abdulla (2025) Innovative Approaches to Traffic Anomaly Detection and Classification Using AI. Applied Sciences, 15 (10). doi:10.3390/app15105520
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Innovative Approaches to Traffic Anomaly Detection and Classification Using AI | ||
| Journal | Applied Sciences | ||
| Authors | Pérez, Borja | Author | |
| Resino, Mario | Author | ||
| Seco, Teresa | Author | ||
| García, Fernando | Author | ||
| Al-Kaff, Abdulla | Author | ||
| Year | 2025 (May 15) | Volume | 15 |
| Issue | 10 | ||
| Publisher | MDPI AG | ||
| DOI | doi:10.3390/app15105520Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 18444292 | Long-form Identifier | mindat:1:5:18444292:8 |
| GUID | 0 | ||
| Full Reference | Pérez, Borja; Resino, Mario; Seco, Teresa; García, Fernando; Al-Kaff, Abdulla (2025) Innovative Approaches to Traffic Anomaly Detection and Classification Using AI. Applied Sciences, 15 (10). doi:10.3390/app15105520 | ||
| Plain Text | Pérez, Borja; Resino, Mario; Seco, Teresa; García, Fernando; Al-Kaff, Abdulla (2025) Innovative Approaches to Traffic Anomaly Detection and Classification Using AI. Applied Sciences, 15 (10). doi:10.3390/app15105520 | ||
| In | (2025, May) Applied Sciences Vol. 15 (10). MDPI AG | ||
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