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Autori: Pejak Branislav

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Naslov Enhancing Machine Learning Crop Classification Models through SAM-Based Field Delineation Based on Satellite Imagery (Proceedings Paper)
Autori Kovacevic Vladimir  Pejak Branislav  Marko Oskar 
Info 2024 12TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS, AGRO-GEOINFORMATICS 2024, (2024), vol. br. , str. 110-113
Projekat European Union [739570]
Ispravka ISI/Web of Science   Članak  
Naslov Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data (Article)
Autori Radulovic Mirjana  Brdar Sanja  Pejak Branislav  Lugonja Predrag  Athanasiadis Ioannis N  Pajevic Nina  Pavic Dragoslav J  Crnojevic Vladimir S 
Info GISCIENCE & REMOTE SENSING, (2023), vol. 60 br. 1, str. -
Projekat Provincial Secretariat for Higher Education and Scientific Research of Vojvodina [142-451-3183/2022-01/01]; Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-47/2023-01/200358]; BioSense Institute [739570, 664387]; Wageningen University Research
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Animal Detection and Counting from UAV Images Using Convolutional Neural Networks (Article)
Autori Rancic Kristina  Blagojevic Bosko D  Bezdan Atila  Ivosevic Bojana D  Tubic Bojan  Vranesevic Milica D  Pejak Branislav  Crnojevic Vladimir S  Marko Oskar 
Info DRONES, (2023), vol. 7 br. 3, str. -
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Quantifying the Effects of Drought Using the Crop Moisture Stress as an Indicator of Maize and Sunflower Yield Reduction in Serbia (Article)
Autori Mimic Gordan  Zivaljevic Branislav  Blagojevic Dragana  Pejak Branislav  Brdar Sanja 
Info ATMOSPHERE, (2022), vol. 13 br. 11, str. -
Projekat Provincial Secretariat for Higher Education and Scientific Research of the Autonomous Province of Vojvodina; [142-451-2698/2021-01]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science  
Naslov Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data (Article)
Autori Pejak Branislav  Lugonja Predrag  Antic Aleksandar  Panic Marko N  Pandzic Milos  Alexakis Emmanouil  Mavrepis Philip  Zhou Naweiluo  Marko Oskar  Crnojevic Vladimir S 
Info REMOTE SENSING, (2022), vol. 14 br. 9, str. -
Projekat European Union [739570, 825355]; Provincial Secretariat for Higher Education and Scientific Research of Vojvodina [142-451-2698/2021-01]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov Container orchestration on HPC systems through Kubernetes (Article)
Autori Zhou Naweiluo  Georgiou Yiannis  Pospieszny Marcin  Zhong Li  Zhou Huan  Niethammer Christoph  Pejak Branislav  Marko Oskar  Hoppe Dennis 
Info JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, (2021), vol. 10 br. 1, str. -
Projekat Projekt DEAL
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
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