| Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning A Safonova, S Tabik, D Alcaraz-Segura, A Rubtsov, Y Maglinets, ... Remote sensing 11 (6), 643, 2019 | 197 | 2019 |
| Olive tree biovolume from UAV multi-resolution image segmentation with mask R-CNN A Safonova, E Guirado, Y Maglinets, D Alcaraz-Segura, S Tabik Sensors 21 (5), 1617, 2021 | 90 | 2021 |
| Ten deep learning techniques to address small data problems with remote sensing A Safonova, G Ghazaryan, S Stiller, M Main-Knorn, C Nendel, M Ryo International Journal of Applied Earth Observation and Geoinformation 125 …, 2023 | 83 | 2023 |
| Individual Tree Crown Delineation for the Species Classification and Assessment of Vital Status of Forest Stands from UAV Images A Safonova, Y Hamad, E Dmitriev, G Georgiev, V Trenkin, M Georgieva, ... Drones 5 (3), 77, 2021 | 54 | 2021 |
| Detection of Norway Spruce Trees (Picea Abies) Infested by Bark Beetle in UAV Images using YOLOs Architectures A Safonova, Y Hamad, A Alekhina, D Kaplun IEEE Access, 2022 | 53 | 2022 |
| Combining classifiers in the problem of thematic processing of hyperspectral aerospace images EV Dmitriev, VV Kozoderov, AO Dementyev, AN Safonova Optoelectronics, Instrumentation and Data Processing 54, 213-221, 2018 | 28 | 2018 |
| Deep learning for sustainable agriculture needs ecology and human involvement M Ryo, J Schiller, S Stiller, JC Rivera Palacio, K Mengsuwan, A Safonova, ... Journal of Sustainable Agriculture and Environment 2 (1), 40-44, 2023 | 13 | 2023 |
| Segmentation and measurement of lung pathological changes for COVID-19 diagnosis based on computed tomography YA Hamad, ME Seno, M Al-Kubaisi, AN Safonova Periodicals of Engineering and Natural Sciences (PEN) 9 (3), 29-41, 2021 | 11 | 2021 |
| A deep learning model for segmentation of covid-19 infections using CT scans YA Hamad, J Kadum, AA Rashid, AH Mohsen, A Safonova AIP Conference Proceedings 2398 (1), 2022 | 7 | 2022 |
| Factor analysis of students’ knowledge assessment based on the results of online entrance testing in mathematics to the university under the conditions of COVID-19 A Safonova, M Guner Education Sciences 13 (1), 46, 2022 | 5 | 2022 |
| Reversal in the drought stress response of the Scots pine forest ecosystem: Local soil water regime as a key to improving climate change resilience MI Bogachev, AM Gafurov, PY Iskandirov, DI Kaplun, AR Kayumov, ... Heliyon 9 (11), 2023 | 4 | 2023 |
| A New Convolutional Neural Network for Recognizing Handwritten Letters of the Russian Alphabet DK Anastasiia Safonova, Andrey Levkov 2022 45th International Conference on Telecommunications and Signal …, 2022 | 4 | 2022 |
| Application of convolutional neural networks in detection of forest damage caused by the Polygraphus Proximus beetle A Safonova, A Rubtsov, S Tabik, D Alcaraz-Segura Материалы V Международной научной конференции «Региональные проблемы …, 2018 | 3 | 2018 |
| The impact of Grey Heron (Ardea cinerea L.) colony on soil biogeochemistry and vegetation: a natural long-term in situ experiment in a planted pine forest MI Bogachev, DV Tishin, AM Gafurov, BI Gareev, RG Imaev, DI Kaplun, ... Frontiers in Environmental Science 11, 1197657, 2023 | 2 | 2023 |
| Plant species detection in aerial and satellite images using deep learning A Safonova Universidad de Granada, 2021 | 2 | 2021 |
| Classification of agricultural crops from middle-resolution satellite images using Gaussian processes based method AN Safonova, YV Dmitriev Сибирский федеральный университет. Siberian Federal University, 2018 | 2 | 2018 |
| Neural network texture segmentation of satellite images of woodlands using the U-net model AE Alyokhina, DS Rusin, EV Dmitriev, AN Safonova SDM-2021: All-Russian conference, CEUR Workshop Proceedings, Novosibirsk …, 2021 | 1 | 2021 |
| Mask R-CNN for segmentation of olive trees AN Safonova, E Guirado, S Tabik, D Alcaraz-Segura, YA Maglinets Региональные проблемы дистанционного зондирования Земли, 167-172, 2019 | 1 | 2019 |
| Classification of agricultural crops of earth remote sensing data using Gaussian based methods A Safonova CEUR Workshop Proceedings, 225-230, 2018 | 1 | 2018 |
| Deep learning improves point density in PS-InSAR data towards finer-scale land surface displacement detection A Safonova, M Ryo IEEE Access, 2024 | | 2024 |
Siham TabikProfessor, Dpt. Computer Science and Artificial Intelligence, University of Granadaugr.es의 이메일 확인됨