Autori: Ilic Velibor M
| Naslov | Wildfire Susceptibility Mapping Using Deep Learning and Machine Learning Models Based on Multi-Sensor Satellite Data Fusion: A Case Study of Serbia (Article) |
| Autori | Durlevic Uros Ilic Velibor M Valjarevic Aleksandar Dj |
| Info | FIRE-SWITZERLAND, (2025), vol. 8 br. 10, str. - |
| Projekat | Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-136/2025-03/200091] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| 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 | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | Active learning using a self-correcting neural network (ALSCN) (Article) |
| Autori | Ilic Velibor M Tadic Jovan |
| Info | APPLIED INTELLIGENCE, (2022), vol. 52 br. 2, str. 1956-1968 |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science Scopus |
| Naslov | Elliptic Cylinder Airborne Sampling and Geostatistical Mass Balance Approach for Quantifying Local Greenhouse Gas Emissions (Article) |
| Autori | Tadic Jovan M Michalak Anna M Traci Laura Ilic Velibor M Biraud Sebastien C Feldman Daniel R Built Thaopaul Johnson Matthew S Loewenstein Max Jeong Seongeun Fischer Marc L Yates Emma L Ryoo Ju-Mee |
| Info | ENVIRONMENTAL SCIENCE & TECHNOLOGY, (2017), vol. 51 br. 17, str. 10012-10021 |
| Projekat | National Aeronautics and Space Administration [NNX08AJ92G]; National Science Foundation [1342076]; California Energy Commissions Natural Gas Research program [500-11-027]; Office of Biological and Environmental Research of the US Department of Energy [DE- |
| Ispravka | ISI/Web of Science Elečas Rang časopisa Citati: ISI/Web of Science Scopus |
| Naslov | Examination of geostatistical and machine-learning techniques as interpolators in anisotropic atmospheric environments (Article) |
| Autori | Tadic Jovan M Ilic Velibor M Biraud Sebastien C |
| Info | ATMOSPHERIC ENVIRONMENT, (2015), vol. 111 br. , str. 28-38 |
| Projekat | National Aeronautics and Space Administration (NASA) [NNX08AJ92G]; National Science Foundation (NSF) [1342076]; U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Atmospheric System Research Program [DE-AC02-05C |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science Scopus |
