2026-08-09T23:50:25.432Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:3:10084 2024-12-03T20:10:47Z 3

Solar Flare Classification via Modified Metaheuristic Optimized Extreme Gradient Boosting, Chapter in CCIS Communications in Computer and Information Science: ILCICT 2023: Information and Communications Technologies, Springer, volume 2097 2024 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/10084 https://link.springer.com/chapter/10.1007/978-3-031-62624-1_7 P. Bisevac A. Toskovic M. Salb L. Jovanovic A. Petrovic M. Zivkovic N. Bacanin Intense electromagnetic phenomena occurring on the Sun’s surface give rise to solar flares. Energetic solar flares have the potential to reach Earth, causing significant interference with telecommunication systems. Particularly powerful solar events can even disrupt satellite and ground communication infrastructure, posing a substantial risk of extensive damage. To mitigate these risks, comprehensive monitoring systems and robust forecasting techniques are essential for early detection and warning. This research proposes an approach utilizing the extreme gradient boosting (XGBoost) algorithm for solar flare classification. Recognizing that the performance of XGBoost is heavily influenced by appropriate hyperparameter selection, a modified metaheuristic algorithm is introduced to optimize the network’s hyperparameters. To evaluate the efficacy of the proposed methodology, a real-world dataset is utilized, and a thorough comparative analysis is conducted, encompassing several contemporary algorithms that address the same solar flare classification task under identical conditions. The objective is to identify the advantages and strengths of the proposed modified metaheuristic approach in comparison to existing methods. bookPart Springer, Cham 81 95 10.1007/978-3-031-62624-1_7 CCIS Communications in Computer and Information Science: ILCICT 2023: Proceedings of Second International Libyan Conference, Information and Communications Technologies, volume 2097