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Autori: Stojkovic Milan

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Naslov Urban nature-based solutions planning for biodiversity outcomes: human, ecological, and artificial intelligence perspectives (Review; Early Access)
Autori Prodanovic Veljko D  Bach Peter M  Stojkovic Milan 
Info URBAN ECOSYSTEMS, (2024), vol. br. , str. -
Projekat University of New South Wales
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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; Early Access)
Autori Dodig Ana  Ricci Elisa  Kvascev Goran S  Stojkovic Milan 
Info JOURNAL OF HYDROINFORMATICS, (2024), vol. br. , str. -
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; Early Access)
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. br. , str. -
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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Naslov Estimation of Large River Design Floods Using the Peaks-Over-Threshold (POT) Method (Article)
Autori Kolakovic Slobodan S  Mandic Vladimir M  Stojkovic Milan  Jeftenic Goran  Stipic Danilo  Kolakovic Srdjan R 
Info SUSTAINABILITY, (2023), vol. 15 br. 6, str. -
Projekat Republic of Serbia, Ministry of Education, Science and Technological Development [451-03-47/2023-01/200108]; Geodesy, Faculty of Technical Sciences, University of Novi Sad, Sebia
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Naslov Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic (Article; Early Access)
Autori Milasinovic Milos R  Ivetic Damjan  Stojkovic Milan  Savic Dragan A 
Info WATER RESOURCES MANAGEMENT, (2023), vol. br. , str. -
Projekat Science Fund of the Republic of Serbia [6062556]; Serbian Ministry of Education, Science and Technological Development [451-03-68/2022-14/200092]
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Naslov Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks (Article; Early Access)
Autori Stojkovic Milan  Marjanovic Dusan S  Rakic Dragan M  Ivetic Damjan  Simic Visnja  Milivojevic Nikola  Trajkovic Slavisa R 
Info JOURNAL OF HYDROINFORMATICS, (2023), vol. br. , str. -
Projekat Science Fund of the Republic of Serbia [6062556]
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