| Container orchestration on HPC systems through Kubernetes N Zhou, Y Georgiou, M Pospieszny, L Zhong, H Zhou, C Niethammer, ... Journal of Cloud Computing 10, 1-14, 2021 | 60 | 2021 |
| Animal detection and counting from UAV images using convolutional neural networks K Rančić, B Blagojević, A Bezdan, B Ivošević, B Tubić, M Vranešević, ... Drones 7 (3), 179, 2023 | 15 | 2023 |
| Quantifying the effects of drought using the crop moisture stress as an indicator of maize and sunflower yield reduction in Serbia G Mimić, B Živaljević, D Blagojević, B Pejak, S Brdar Atmosphere 13 (11), 1880, 2022 | 13 | 2022 |
| Soya yield prediction on a within-field scale using machine learning models trained on Sentinel-2 and soil data B Pejak, P Lugonja, A Antić, M Panić, M Pandžić, E Alexakis, P Mavrepis, ... Remote sensing 14 (9), 2256, 2022 | 10 | 2022 |
| A case study of monitoring maize dynamics in Serbia by utilizing Sentinel-1 data and growing degree days M Pandžić, N Ljubičić, G Mimić, J Pandžić, B Pejak, V Crnojević ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 6 | 2020 |
| Cybele:: A hybrid architecture of hpc and big data for ai applications in agriculture N Zhou, L Zhong, D Hoppe, B Pejak, O Marko, J Cardona, M Czerkawski, ... HPC, Big Data, and AI Convergence Towards Exascale, 255-272, 2022 | 2 | 2022 |
| Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data M Radulović, S Brdar, B Pejak, P Lugonja, I Athanasiadis, N Pajević, ... GIScience & Remote Sensing 60 (1), 2262010, 2023 | 1 | 2023 |
| Earth Observation and Machine Learning for estimating the irrigation potential of municipalities in Vojvodina, Serbia M Radulović, B Pejak, M Pandžić, S Brdar, IN Athanasiadis, N Pajević, ... 39th International Symposium on Remote Sensing of Environment (ISRSE39), 2023 | | 2023 |
| Classification of irrigated and rainfed croplands in Vojvodina Province (North Serbia) using Sentinel-2 data M Radulović, S Stojković, B Pejak, P Lugonja, S Brdar | | 2021 |
| USING GIS AND REMOTE SENSING TECHNIQUES FOR DELINEATION OF GROUNDWATER POTENTIAL ZONES–A CASE STUDY OF THE TITEL MUNICIPALITY, SERBIA M Radulović, T Đorđević, N Grujić, B Pejak, S Brdar, S Savić, D Pavić EGU2020, 2020 | | 2020 |
| KLASIFIKACIJA KULTURA NA SLIKAMA SA SENTINEL-2 SATELITA METODAMA MAŠINSKOG UČENJA B Pejak Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34 (05), 974-977, 2019 | | 2019 |
Oskar MarkoBioSense Institute | University of Novi Sad在 biosense.rs 的电子邮件经过验证
