🌎 Our editorial piece on “ChatGPT” is out now! If ChatGPT plays a role in your academic journey, this paper is a must-read! @theAGU
https://t.co/bYlVVdBPL0
This was a shocking book.
I just finished it and wasn't expecting what I learned.
Every Machine Learning and Data Science practitioner should learn about causal inference.
It's a different way of thinking. It makes me look at the world with different eyes.
A great effort led by @GavahiKeyhan to fuse several satellite, gage-based and reanalysis products by #deeplearning to have a most reliable QPE that fully exploit the spatial and temporal patterns of precipitation; a product to use! @EhsanFrmd @UA_CIROH
https://t.co/ZVGvPXV4We
Led by @Kjafarza, and a great collaborative work with colleagues across 3 continents, we provided a comprehensive review on Advances in Riverine and Coastal Flood Modeling #AGU Reviews of Geophysics, with potential pathways to overcome the challenges, https://t.co/PC6k3Gs4lo
Our new publication entitled "Fast #Flood Extent #Monitoring With #SAR Change Detection Using Google Earth Engine" on how to select #optimum#threshold values for flooded pixels has been recently published at #IEEETGRS.
Paper: https://t.co/jE0CT49Ma1
Code: https://t.co/MlZNrp4goJ