most citedNon-Markovian Light-Matter Dynamics in the Time Fractional Jaynes-Cummings Model with Modulated Coupling

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physics.ao-ph2025

Predicting temperatures in Brazilian states capitals via Machine Learning

Sidney T. da Silva, Enrique C. Gabrick, Ana Luiza R. de Moraes +4

Climate change refers to substantial long-term variations in weather patterns. In this work, we employ a Machine Learning (ML) technique, the Random Forest (RF) algorithm, to forec…