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Naslov Towards adaptive stage-flow rating curve for large lowland river streams on the lower Tisza River with backwater impacts using deep learning and copula approach (Article)
Autori Stojkovic Milan  Dotlic Milan D  Vinokic Luka N  Kapelan Zoran  Kolakovic Slobodan S  Prodanovic Veljko D 
Info JOURNAL OF HYDROLOGY-REGIONAL STUDIES, (2026), vol. 65 br. , str. -
Projekat European Union's Horizon Europe project ARTIFACT [101159480]; Interreg IPA Hungary-Serbia project ADAPTisa [HUSRB/23R/11/006]; Serbian section of the Tisza River
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Enhancing the monitoring system for river water quality: harnessing the power of satellite data and machine learning (Article)
Autori Ilic Velibor M  Turk-Sekulic Maja M  Brboric Maja P  Radonic Jelena R  Dmitrasinovic Sonja S  Stojkovic Milan 
Info BLUE-GREEN SYSTEMS, (2025), vol. 7 br. 2, str. 338-352
Projekat Science Fund of the Republic of Serbia [6707]; European Union's Horizon Europe project ARTIFACT [101159480]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Machine learning-based interactive dynamic resilience assessment for complex hydropower systems (Article)
Autori Milivojevic Vladimir  Cirovic Vukasin B  Stojkovic Milan  Mirkovic Uros B  Kuzmanovic Vladan  Milivojevic Nikola B  Stojanovic Boban S 
Info JOURNAL OF BIG DATA, (2025), vol. 12 br. 1, str. -
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment (Article)
Autori Vinokic Luka N  Dotlic Milan D  Prodanovic Veljko D  Kolakovic Slobodan S  Simonovic Slobodan P  Stojkovic Milan 
Info WATER RESEARCH X, (2025), vol. 27 br. , str. -
Projekat Joint Stock Company Elektroprivreda Srbije
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Naslov Novel Perspectives on Environmental Dynamic Resilience: Adapting Urban Water Systems to a Changing Climate (Article; Early Access)
Autori Stojkovic Milan  Mijic Ana  Dobson Barnaby  Marjanovic Dusan S  Majkic-Dursun Brankica L 
Info WATER RESOURCES MANAGEMENT, (2024), vol. br. , str. -
Projekat Science fund of the Republic of Serbia
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Naslov Annual and Low-Flow Trends in Serbia (Article)
Autori Krtolica Ivana  Todorov Milos  Prohaska Stevan  Stojkovic Milan 
Info JOURNAL OF HYDROLOGIC ENGINEERING, (2024), vol. 29 br. 3, str. -
Projekat Science Fund of the Republic of Serbia [6707]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov A novel machine learning-based framework for the water quality parameters prediction using hybrid long short-term memory and locally weighted scatterplot smoothing methods (Article)
Autori Dodig Ana  Ricci Elisa  Kvascev Goran S  Stojkovic Milan 
Info JOURNAL OF HYDROINFORMATICS, (2024), vol. 26 br. 5, str. 1059-1079
Projekat Science Fund of the Republic of Serbia [6707]
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Naslov Deep Neural Network Model for Determination of Coal Cutting Resistance and Performance of Bucket-Wheel Excavator Based on the Environmental Properties and Excavation Parameters (Article)
Autori Kostic Srdjan D  Stojkovic Milan  Ilic Velibor M  Trivan Jelena 
Info PROCESSES, (2023), vol. 11 br. 11, str. -
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Naslov Colored noise in river level oscillations as triggering factor for unstable dynamics in a landslide model with displacement delay (Article)
Autori Kostic Srdjan D  Stojkovic Milan 
Info FRONTIERS IN EARTH SCIENCE, (2023), vol. 11 br. , str. -
Projekat The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
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Naslov Application of machine learning in river water quality management: a review (Review)
Autori Cojbasic Sanja  Dmitrasinovic Sonja S  Kostic Marija  Turk-Sekulic Maja M  Radonic Jelena R  Dodig Ana  Stojkovic Milan 
Info WATER SCIENCE AND TECHNOLOGY, (2023), vol. 88 br. 9, str. 2297-2308
Projekat This research was supported by the Science Fund of the Republic of Serbia, grant number 6707, REmote WAter quality monitoRing anD IntelliGence - REWARDING and by the Ministry of Science, European Unionapos;s Horizon Europe Marie Sklodowska-Curie Actions ( [6707]; Science Fund of the Republic of Serbia [101086387 - REMARKABLE, 451-03-47/2023-01/200156]; Ministry of Science, European Unionapos;s Horizon Europe Marie Sklodowska-Curie Actions (MSCA)
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