ML-DPIE: comparative evaluation of machine learning methods for drought parameter index estimation: a case study of Türkiye
Finding solutions for long-term drought parameter index estimation (DPIE) is very crucial
since there is a rising trend of drought which has a huge impact on water supplies, various …
since there is a rising trend of drought which has a huge impact on water supplies, various …
Prediction and assessment of meteorological drought in southwest China using long short-term memory model
X Li, H Jia, L Wang, T Xiao - Open Geosciences, 2024 - degruyter.com
Drought prediction is crucial for mitigating risks and designing measures to alleviate its
impact. Machine learning models have been widely applied in the field of drought prediction …
impact. Machine learning models have been widely applied in the field of drought prediction …
A Machine Learning-Based Approach to Assess and Predict Drought Events: A Case of Rajasthan, India
The work focuses on understanding and analyzing drought events in the region of
Rajasthan, India, using drought indices and machine learning models. The Standard …
Rajasthan, India, using drought indices and machine learning models. The Standard …