NDVI time series showing data from two sources. (IMAGE)
Caption
In a recent study, a research team from Chung-Ang University, Korea presents open research questions related to anomaly detection using deep learning and curates open-access time series datasets, an invaluable asset for selecting the appropriate technique for a particular scientific or industrial problem and developing efficient anomaly detection techniques.
Credit
Haoyang Xu from flickr Image link: https://www.flickr.com/photos/15733096@N00/2722378670
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CC BY-NC-SA