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Autori: Elsayed Mahmoud Mohamed

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Naslov A multivariate methodology combining recurrent neural networks with the modified variable neighborhood search algorithm for unemployment forecasting (Article)
Autori Babic Lepa Jovanovic Luka Z  Cadjenovic Jelena Elsayed Mahmoud Mohamed Hammad Mohamed Zivkovic Miodrag V Simic Vladimir Bacanin Nebojsa  
Info APPLIED SOFT COMPUTING, (2026), vol. 186 br. , str. -
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Naslov Exploring artificial intelligence potential in solar energy production forecasting: Methodology based on modified PSO optimized attention augmented recurrent networks (Article)
Autori Jovanovic Luka Z  Bacanin Nebojsa  Petrovic Aleksandar Zivkovic Miodrag V Antonijevic Milos  Gajic Vuk A  Elsayed Mahmoud Mohamed Abouhawwash Mohamed 
Info SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, (2025), vol. 47 br. , str. -
Projekat Science Fund of the Republic of Serbia [7373]; Characterizing crises-caused air pollution alternations using an artificial intelligence-based framework-crAIRsis; Intelligent Multi-Agent Control and Optimization applied to Green Buildings and Environmental Monitoring Drone Swarms-ECOSwarm [7502]
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Naslov Exploring artificial intelligence potential in solar energy production forecasting: Methodology based on modified PSO optimized attention augmented recurrent networks (Article)
Autori Jovanovic Luka Z  Bacanin Nebojsa  Petrovic Aleksandar Zivkovic Miodrag V Antonijevic Milos  Gajic Vuk A  Elsayed Mahmoud Mohamed Abouhawwash Mohamed 
Info SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, (2025), vol. 47 br. , str. -
Projekat Science Fund of the Republic of Serbia [7373, 7502]
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