Advances and applications of machine learning and deep learning in environmental ecology and health
S Cui, Y Gao, Y Huang, L Shen, Q Zhao, Y Pan… - Environmental …, 2023 - Elsevier
Abstract Machine learning (ML) and deep learning (DL) possess excellent advantages in
data analysis (eg, feature extraction, clustering, classification, regression, image recognition …
data analysis (eg, feature extraction, clustering, classification, regression, image recognition …
Integrating artificial intelligence in biodiversity conservation: bridging classical and modern approaches
F Ullah, S Saqib, YC ** Habitats in the Natura 2000 Protected Oak Forests
Landscape changes caused by climate change require new methods for forest research,
analysis, map**, and monitoring. This study aims to combine ground-based and remote …
analysis, map**, and monitoring. This study aims to combine ground-based and remote …