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Quantifying the temporal variation of the contribution of fine sediment sources to sediment yields from Chilean forested catchments during harvesting operations Autores: Paulina Schuller, Desmond E. Walling, Andrés Iroumé, César Quilodrán, Daniel Alejandro Castillo Localización: Revista Bosque (Valdivia), ISSN-e 0717-9200, ISSN 0304-8799, Vol. 42, Nº. 2, 2021, págs.
This paper proposes a novel approach to predict epidemiological parameters by integrating new real-time signals from various sources of information, such as novel social media-based population density maps and Air Quality data. We implement an ensemble of Convolutional Neural Networks (CNN) models using various data sources and fusion methodology to build robust predictions and simulate several dynamic parameters that could improve the decision-making process for policymakers.
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