Autori: Stojkovic Milan
| 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 | 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 |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: |
|
|
| 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 |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: |
|
|
| 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 |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: |
|
|
| 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 | 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] |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: |
|
|
| 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. - |
| Ispravka | Web of Science Članak Elečas Rang časopisa |
|
|
| 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. |
| Ispravka | Web of Science Članak Elečas Rang časopisa |
|
|
| 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) |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: |
|
|
| Naslov | Assessing water resources systems' dynamic resilience under hazardous events via a genetic fuzzy rule-based system (Article) |
| Autori | Simic Visnja Stojkovic Milan Milivojevic Nikola B Bacanin Nikola
|
| Info | JOURNAL OF HYDROINFORMATICS, (2023), vol. 25 br. 2, str. 318-331 |
| Projekat | Science Fund of the Republic of Serbia [6062556] |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: Web of Science |
|
|
