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Autori: Bacanin Nebojsa

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Naslov A New FullEX Decision-Making Technique for Criteria Importance Assessment: An Application to the Sustainable Last-Mile Delivery Courier Selection (Article)
Autori Boskovic Sara Svadlenka Libor Jovcic Stefan Dobrodolac Momcilo  Simic Vladimir D  Bacanin Nebojsa  
Info IEEE ACCESS, (2023), vol. 11 br. , str. 137426-137436
Projekat Project "Sustainable Urban Mobility Plans, E-Commerce, and Smart City Logistics"
Ispravka Web of Science   Članak   Elečas   Rang časopisa  
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Naslov Enhancing Internet of Things Network Security Using Hybrid CNN and XGBoost Model Tuned via Modified Reptile Search Algorithm (Article)
Autori Salb Mohamed  Jovanovic Luka Z  Bacanin Nebojsa  Antonijevic Milos  Zivkovic Miodrag Z  Budimirovic Nebojsa  Abualigah Laith 
Info APPLIED SCIENCES-BASEL, (2023), vol. 13 br. 23, str. -
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Naslov Performance evaluation of metaheuristics-tuned recurrent neural networks for electroencephalography anomaly detection (Article)
Autori Pilcevic Dejan D Djuric-Jovicic Milica D  Antonijevic Milos  Bacanin Nebojsa  Jovanovic Luka Z  Zivkovic Miodrag Z  Dragovic Miroslav I  Bisevac Petar 
Info FRONTIERS IN PHYSIOLOGY, (2023), vol. 14 br. , str. -
Projekat Ministry of Science, Technological Development and Innovations of the Republic of Serbia [451-03-47/2023-01/200223]
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Naslov Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis (Article)
Autori Todorovic Mihailo Stanisic Nemanja Zivkovic Miodrag Z  Bacanin Nebojsa  Simic Vladimir D  Tirkolaee Erfan Babaee 
Info APPLIED SOFT COMPUTING, (2023), vol. 149 br. , str. -
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Naslov Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning (Article)
Autori Stoean Ruxandra Bacanin Nebojsa  Stoean Catalin Ionescu Leonard Atencia Miguel Joya Gonzalo 
Info JOURNAL OF CULTURAL HERITAGE, (2023), vol. 64 br. , str. 198-206
Projekat Romanian Ministry of Research and Innovation [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]; Object PErception and Reconstruction with deep neural Architectures ( OPERA ), within PNCDI III
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Naslov Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization (Article; Early Access)
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, (2023), vol. br. , str. -
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
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Naslov Text Document Clustering Approach by Improved Sine Cosine Algorithm (Article)
Autori Radomirovic Branislav Jovanovic Vuk Nikolic Bosko D  Stojanovic Sasa ... Zivkovic Miodrag Z  Njegus Angelina Bacanin Nebojsa  Strumberger Ivana  
Info INFORMATION TECHNOLOGY AND CONTROL, (2023), vol. 52 br. 2, str. 541-561
Projekat Ministry of Education and Science of the Republic of Serbia [III-44006]; Science Fund of the Republic of Serbia [6526093]
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Naslov Wall segmentation in 2D images using convolutional neural networks (Article)
Autori Bjekic Mihailo Lazovic Ana Venkatachalam K Bacanin Nebojsa  Zivkovic Miodrag Z  Kvascev Goran S  Nikolic Bosko D  
Info PEERJ COMPUTER SCIENCE, (2023), vol. 9 br. , str. -
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-68/2022-14/200103]
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Naslov Software defects prediction by metaheuristics tuned extreme gradient and based on Additive (Article)
Autori Zivkovic Tamara  Nikolic Bosko D  Simic Vladimir D  Pamucar Dragan S  Bacanin Nebojsa  
Info APPLIED SOFT COMPUTING, (2023), vol. 146 br. , str. -
Projekat Science Fund of the Republic of Serbia [6526093]
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Naslov Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks (Article)
Autori Petrovic Aleksandar Damasevicius Robertas Jovanovic Luka Z  Toskovic Ana Simic Vladimir D  Bacanin Nebojsa  Zivkovic Miodrag Z  Spalevic Petar C  
Info APPLIED SCIENCES-BASEL, (2023), vol. 13 br. 16, str. -
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