ML and AI-Based Prediction of Precipitation Trends
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Elsevier BV
Reference23 articles.
1. Maji, S., Senapati, A. and Mondal, A. (2023). A study on hydrodynamics of rigid and emergent vegetated flows using machine learning approach. Innovations Syst Softw Eng. https://doi.org/10.1007/s11334-022-00519-6
2. A novel model for rainfall prediction using hybrid stochastic-based Bayesian optimization algorithm;Lathika.;Environ Sci Pollut Res,2023
3. A. Gupta, H. K. Mall and S. Janarthanan. (2022). Rainfall Prediction Using Machine Learning, First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR), Hyderabad, India, pp. 1-5, doi: 10.1109/ICAITPR51569.2022.9844203.
4. T. Goksu, K. U. Birant, and D. Birant. (2023). Rainfall Prediction Using an Ensemble Machine Learning Model Based on K-Stars Sustainability 15, no. 7: 5889. https://doi.org/10.3390/su15075889
5. Trend analysis of seasonal rainfall and temperature pattern in Kalahandi, Bolangir and Koraput districts of Odisha, India;Panda;Atmospheric Science Letters,,2019
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