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Naslov Neurodegenerative Condition Detection Using Modified Metaheuristic for Attention Based Recurrent Neural Networks and Extreme Gradient Boosting Tuning (Article)
Autori Cincovic Jelica  Jovanovic Luka Z  Nikolic Bosko D  Bacanin Nebojsa 
Info IEEE ACCESS, (2024), vol. 12 br. , str. 26719-26734
Projekat Science Fund of the Republic of Serbia
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Performance evaluation methodology for gas turbine power plants using graph theory and combinatorics (Article)
Autori Dev Nikhil  Kumar Raman  Saha Rajeev Kumar  Babbar Atul  Simic Vladimir D  Kumar Raman  Bacanin Nebojsa 
Info INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, (2024), vol. 57 br. , str. 1286-1301
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets (Article; Early Access)
Autori Bacanin Nebojsa  Stoean Catalin  Markovic Dusan  Zivkovic Miodrag Z  Rashid Tarik A  Chhabra Amit  Sarac Marko 
Info MULTIMEDIA TOOLS AND APPLICATIONS, (2024), vol. br. , str. -
Projekat Romanian Ministry of Research and Innovation
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov Enhancing patient information performance in internet of things-based smart healthcare system: Hybrid artificial intelligence and optimization approaches (Article)
Autori Ala Ali  Simic Vladimir D  Pamucar Dragan S  Bacanin Nebojsa 
Info ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, (2024), vol. 131 br. , str. -
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
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. -
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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]
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