| Sparse and low-rank matrix decomposition-based method for hyperspectral anomaly detection F Küçük, BU Töreyin, FV Çelebi Journal of Applied Remote Sensing 13 (1), 014519-014519, 2019 | 11 | 2019 |
| Hybrid anomaly detection method for hyperspectral images F Küçük Signal, Image and Video Processing 17 (6), 2755-2761, 2023 | 3 | 2023 |
| Anomaly detection in hyperspectral data with matrix decomposition F Küçük, BU Töreyin, FV Çelebi 2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018 | 2 | 2018 |
| Hyperspectral anomaly detection with an improved approach: integration of go decomposition algorithm and laplacian matrix modifier F Küçük Journal of Scientific Reports-A, 36-44, 2024 | | 2024 |
| Artificial Intelligence in Health Services Management H Arslan, F Kucuk The Impact of Artificial Intelligence on Healthcare Industry 1, 22, 2024 | | 2024 |
| Sparse matrix decomposition and low rank based techniques for anomaly detection in hyperspectral images F Küçük Fen Bilimleri Enstitüsü, 0 | | |
Fatih Vehbi CelebiAnkara Yildirim Beyazit UniversityVerified email at ybu.edu.tr
