1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study
Valeriy Shevchenko, Daria Taniushkina, Aleksander Lukashevich +7
The United Nations has identified improving food security and reducing hunger as essential components of its sustainable development goals. As of 2021, approximately 828 million pe…
physics.ao-ph2023
Accessing Convective Hazards Frequency Shift with Climate Change using Physics-Informed Machine Learning
Mikhail Mozikov, Ilya Makarov, Alexandr Bulkin +3
In this paper we discuss and address the challenges of predicting extreme atmospheric events like intense rainfall, hail, and strong winds. These events can cause significant damag…