Deep Learning (DL), a subset of Machine Learning (ML), has emerged as a powerful tool in environmental science, reshaping the landscape of data analysis and interpretation. This study focuses on the remarkable impact of DL on various aspects of environmental science, including remote sensing, climate modelling, biodiversity assessment, pollution monitoring, and environmental health.
Magazzino, C. (2024). The impact of deep learning on environmental science. BMC ENVIRONMENTAL SCIENCE, 1(4) [10.1186/s44329-024-00003-5].
The impact of deep learning on environmental science
Magazzino, Cosimo
2024-01-01
Abstract
Deep Learning (DL), a subset of Machine Learning (ML), has emerged as a powerful tool in environmental science, reshaping the landscape of data analysis and interpretation. This study focuses on the remarkable impact of DL on various aspects of environmental science, including remote sensing, climate modelling, biodiversity assessment, pollution monitoring, and environmental health.File in questo prodotto:
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