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Autori: Bacanin Nebojsa

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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
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
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]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
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]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
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]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
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. -
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Intrusion Detection in Healthcare 4.0 Internet of Things Systems via Metaheuristics Optimized Machine Learning (Article)
Autori Savanovic Nikola  Toskovic Ana  Petrovic Aleksandar  Zivkovic Miodrag Z  Damasevicius Robertas  Jovanovic Luka Z  Bacanin Nebojsa  Nikolic Bosko D 
Info SUSTAINABILITY, (2023), vol. 15 br. 16, str. -
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning (Article)
Autori Jovanovic Luka Z  Jovanovic Dijana  Antonijevic Milos  Nikolic Bosko D  Bacanin Nebojsa  Zivkovic Miodrag Z  Strumberger Ivana 
Info JOURNAL OF WEB ENGINEERING, (2023), vol. 22 br. 3, str. 543-574
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Barriers to effective implementation of end-of-life vehicle management in Indonesia (Article)
Autori Sitinjak Charli  Simic Vladimir D  Ismail Rozmi  Bacanin Nebojsa  Musselwhite Charles 
Info ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, (2023), vol. 30 br. 37, str. 87286-87299
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach (Article)
Autori Dobrojevic Milos  Zivkovic Miodrag Z  Chhabra Amit  Sani Nor Samsiah  Bacanin Nebojsa  Amin Maifuza Mohd 
Info PEERJ COMPUTER SCIENCE, (2023), vol. 9 br. , str. -
Projekat Universiti Kebangsaan Malaysia [GUP-2022-060]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection (Article)
Autori Bacanin Nebojsa  Zivkovic Miodrag Z  Antonijevic Milos  Venkatachalam K  Lee Jinseok  Nam Yunyoung  Marjanovic Marina  Strumberger Ivana  Abouhawwash Mohamed 
Info COMPLEX & INTELLIGENT SYSTEMS, (2023), vol. 9 br. 6, str. 7269-7304
Projekat Korea Technology and Information Promotion Agency (TIPA) - Korea government (Ministry of SMEs and Startups) [S3271954]; National Research Foundation of Korea (NRF) - korea government (MSIT) [2022H1D8A3038040]; Soonchunhyang University Research Fund
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
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