Semantic Scholar Open Access 2024 10 sitasi

The impact of deep learning on environmental science

C. Magazzino

Lihat Sumber DOI

Abstrak

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.

Penulis (1)

C. Magazzino

Format Sitasi

APA MLA BibTeX

Magazzino, C. (2024). The impact of deep learning on environmental science. https://doi.org/10.1186/s44329-024-00003-5

Akses Cepat

Lihat di Sumber doi.org/10.1186/s44329-024-00003-5

Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Total Sitasi: 10×
Sumber Database: Semantic Scholar
DOI: 10.1186/s44329-024-00003-5
Akses: Open Access ✓