Titlebook: Advances in Soft Computing; 23rd Mexican Interna Lourdes Martínez-Villaseñor,Gilberto Ochoa-Ruiz Conference proceedings 2025 The Editor(s)

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https://doi.org/10.1007/978-3-8350-9497-0formation, but night-time light data. The results demonstrate a strong relationship between energy consumption and these satellite images. Consequently, all tested models provided accurate estimations, with the Random Forest and Neural Network methods yielding the best performance.

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https://doi.org/10.1007/978-3-8350-9497-0ristic from a pool as the search progresses to obtain competent performance. Our results suggest that Cellular Automata can indeed be used to produce hyper-heuristics and compete against other popular classifiers from the literature when also used as hyper-heuristics.

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https://doi.org/10.1007/978-3-8349-6881-4ate-of-the-art in this task. As a first attempt to contribute to the study of detecting the early stages of AD, we further analyze how the proposed characterizations perform over people with Mild Cognitive Impairment (MCI).

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