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Autori: Bacanin Nebojsa

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Naslov Deep learning assisted XRF spectra classification (Article)
Autori Andric Velibor Dj  Kvascev Goran S  Cvetanovic Milos M  Stojanovic Sasa  Bacanin Nebojsa  Gajic-Kvascev Maja D 
Info SCIENTIFIC REPORTS, (2024), vol. 14 br. 1, str. -
Projekat Ministry of Science, Technological Development, and Innovations, Republic of Serbia [451-03-66/2024-03/200017, 1, 110-10/2019-000, T0602403, 451-03-47/2023-01/200103]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting (Article)
Autori Pavlov-Kagadejev Marijana  Jovanovic Luka Z  Bacanin Nebojsa  Deveci Muhammet  Zivkovic Miodrag Z  Tuba Milan  Strumberger Ivana  Pedrycz Witold 
Info ARTIFICIAL INTELLIGENCE REVIEW, (2024), vol. 57 br. 3, str. -
Projekat Science Fund of the Republic of Serbia [7502]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation (Article)
Autori Damasevicius Robertas  Jovanovic Luka Z  Petrovic Aleksandar  Zivkovic Miodrag Z  Bacanin Nebojsa  Jovanovic Dejan  Antonijevic Milos 
Info PEERJ COMPUTER SCIENCE, (2024), vol. 10 br. , str. -
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov A single-valued neutrosophic-based methodology for selecting warehouse management software in sustainable logistics systems (Article)
Autori Kara Karahan  Yalcin Galip Cihan  Simic Vladimir D  Onden Ismail  Edinsel Sercan  Bacanin Nebojsa 
Info ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, (2024), vol. 129 br. , str. -
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization (Article)
Autori Predic Bratislav B  Jovanovic Luka Z  Simic Vladimir D  Bacanin Nebojsa  Zivkovic Miodrag Z  Spalevic Petar C  Budimirovic Nebojsa  Dobrojevic Milos 
Info COMPLEX & INTELLIGENT SYSTEMS, (2024), vol. 10 br. 2, str. 2249-2269
Projekat This research was supported by the Science Fund of the Republic of Serbia-IDEA#7751676 and Ministry of Science, Technological Development and Innovations of the Republic of Serbia-TR32023 and TR35026. [7751676]; Science Fund of the Republic of Serbia-IDEA [TR32023, TR35026]; Ministry of Science, Technological Development and Innovations of the Republic of Serbia
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0 (Article)
Autori Jovanovic Luka Z  Bacanin Nebojsa  Zivkovic Miodrag Z  Antonijevic Milos  Jovanovic Bojan D  Bogicevic-Sretenovic Marija S  Strumberger Ivana 
Info EXPERT SYSTEMS, (2024), vol. 41 br. 2, str. -
Projekat Ministarstvo Prosvete, Nauke i TehnoloskogRazvoja [III-44006]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation (Proceedings Paper)
Autori Stoean Catalin  Bacanin Nebojsa  Stoean Ruxandra  Ionescu Leonard  Garau Alina Maria  Ghitescu Cristina Camelia 
Info 2023 25TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, SYNASC 2023, (2023), vol. br. , str. 266-273
Projekat Romanian Ministry of Research and Innovation, CCCDI - UEFISCDI, within PNCDI III [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]
Ispravka ISI/Web of Science   Članak  
Naslov Solar flare classification using modified metaheuristic optimized XGBoost (Proceedings Paper)
Autori Radomirovic Branislav  Jovanovic Luka Z  Stoean Catalin  Zivkovic Miodrag Z  Njegus Angelina  Bacanin Nebojsa 
Info 2023 25TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, SYNASC 2023, (2023), vol. br. , str. 287-292
Ispravka ISI/Web of Science   Članak  
Naslov Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs (Proceedings Paper)
Autori Stoean Catalin  Bacanin Nebojsa  Volkovich Zeev  Ionescu Leonard  Stoean Ruxandra 
Info ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2023, PT II, (2023), vol. 14135 br. , str. 479-490
Projekat Romanian Ministry of Research and Innovation, CCCDI - UEFISCDI within PNCDI III [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts (Proceedings Paper)
Autori Stoean Ruxandra  Garcia Baez Patricio  Suarez Araujo Carmen Paz  Bacanin Nebojsa  Atencia Miguel  Stoean Catalin 
Info ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2023, PT II, (2023), vol. 14135 br. , str. 467-478
Projekat Romanian Ministry of Research and Innovation, CCCDI - UEFISCDI within PNCDI III [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
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