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    GRB 221009A: The B.O.A.T. Burst that Shines in Gamma Rays by M. Axelsson, M. Ajello, M. Arimoto, L. Baldini, J. Ballet, M. G. Baring, C. Bartolini, D. Bastieri, J. Becerra Gonzalez, R. Bellazzini, B. Berenji, E. Bissaldi, R. D. Blandford, R. Bonino, P. Bruel, S. Buson, R. A. Cameron, R. Caputo, P. A. Caraveo, E. Cavazzuti, C. C. Cheung, G. Chiaro, N. Cibrario, S. Ciprini, G. Cozzolongo, P. Cristarella Orestano, M. Crnogorcevic, A. Cuoco, S. Cutini, F. D’Ammando, S. De Gaetano, N. Di Lalla, A. Dinesh, R. Di Tria, L. Di Venere, A. Domínguez, S. J. Fegan, E. C. Ferrara, A. Fiori, A. Franckowiak, Y. Fukazawa, S. Funk, P. Fusco, G. Galanti, F. Gargano, C. Gasbarra, S. Germani, F. Giacchino, N. Giglietto, M. Giliberti, R. Gill, F. Giordano, M. Giroletti, J. Granot, D. Green, I. A. Grenier, S. Guiriec, M. Gustafsson, M. Hashizume, E. Hays, J. W. Hewitt, D. Horan, T. Kayanoki, M. Kuss, A. Laviron, J. Li, I. Liodakis, F. Longo, F. Loparco, L. Lorusso, B. Lott, M. N. Lovellette, P. Lubrano, S. Maldera, D. Malyshev, A. Manfreda, G. Martí-Devesa, R. Martinelli, I. Martinez Castellanos, M. N. Mazziotta, J. E. McEnery, I. Mereu, M. Meyer, P. F. Michelson, N. Mirabal, W. Mitthumsiri, T. Mizuno, P. Monti-Guarnieri, M. E. Monzani, T. Morishita, A. Morselli, I. V. Moskalenko, M. Negro, R. Niwa, N. Omodei, M. Orienti, E. Orlando, D. Paneque, G. Panzarini, M. Persic, M. Pesce-Rollins, V. Petrosian, R. Pillera, F. Piron, T. A. Porter, G. Principe, J. L. Racusin, S. Rainò, R. Rando, B. Rani, M. Razzano, S. Razzaque, A. Reimer, O. Reimer, F. Ryde, M. Sánchez-Conde, P. M. Saz Parkinson, D. Serini, C. Sgrò, V. Sharma, E. J. Siskind, G. Spandre, P. Spinelli, D. J. Suson, H. Tajima, D. Tak, J. B. Thayer, D. F. Torres, J. Valverde, G. Zaharijas, (Fermi LAT collaboration), S. Lesage, M. S. Briggs, E. Burns, S. Bala, P. N. Bhat, W. H. Cleveland, S. Dalessi, C. de Barra, M. Gibby, M. M. Giles, R. Hamburg, B. A. Hristov, D. Kocevski, C. M. Hui, B. Mailyan, C. Malacaria, S. McBreen, S. Poolakkil, O. J. Roberts, L. Scotton, P. Veres, A. von Kienlin, C. A. Wilson-Hodge, J. Wood, (Fermi GBM collaboration)

    Published 2025-01-01
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    Distributed Peer-to-Peer Optimization Based on Robust Reinforcement Learning with Demand Response: A Review by Andrés Martínez, Paul Arévalo

    Published 2025-02-01
    “…Additionally, this study identifies key technical and regulatory challenges, such as computational complexity, market uncertainty, and the lack of standardized legal frameworks, while proposing pathways to address them through intelligent energy management and collaborative solutions. …”
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    “Optimizing the Optimization”: A Hybrid Evolutionary-Based AI Scheme for Optimal Performance by Agathoklis A. Krimpenis, Loukas Athanasakos

    Published 2025-03-01
    “…Optimization algorithms for solving technological and scientific problems often face long convergence times and high computational costs due to numerous input/output parameters and complex calculations. …”
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