| Retinal blood vessels segmentation using ant colony optimization M Bajčeta, P Sekulić, S Djukanović, T Popovic, V Popović-Bugarin 2016 13th Symposium on Neural Networks and Applications (NEUREL), 1-6, 2016 | 14 | 2016 |
| Compressed sensing MRI using masked DCT and DFT measurements E Hot, P Sekulić 2015 4th Mediterranean Conference on Embedded Computing (MECO), 323-326, 2015 | 13 | 2015 |
| A recurrent neural network approach to improve the air quality index prediction F Cassano, A Casale, P Regina, L Spadafina, P Sekulic Ambient Intelligence–Software and Applications–, 10th International …, 2020 | 12 | 2020 |
| A private IoT cloud platform for precision agriculture and ecological monitoring M Bajčeta, P Sekulić, B Krstajić, S Djukanović, T Popović | 7 | 2016 |
| Real-time flood prediction using recurrent neural networks and random forest P Sekulic, P Regina, L Spadafina, G Dentamaro, A Porcelli, C Bove, ... | 3 | 2020 |
| Video object segmentation using optical flow and recurrent neural networks M Kalezić, P Sekulić, S Kovačević 2020 9th Mediterranean Conference on Embedded Computing (MECO), 1-4, 2020 | 1 | 2020 |
| Retinal blood vessels segmentation using support vector machine and modified line detector P Sekulić, M Bajčeta, S Djukanović Proceedings of the 22nd International Scientific-Professional Conference …, 2017 | 1 | 2017 |
| Retinal blood vessels segmentation using neural networks and features based on line operators M Bajčeta, P Sekulić, S Djukanović | | |
Slobodan ĐukanovićUniversity of Montenegro, Faculty of Electrical EngineeringVerified email at ucg.ac.me
