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A review on machine learning and deep learning based rainfall prediction methods
N Srinu, BH Bindu - … Conference on Power, Energy, Control and …, 2022 - ieeexplore.ieee.org
Water for farming and storage capacity in dams are both affected by the quantity of
precipitation that falls. Predicting when and how much rain will fall is challenging because of …
precipitation that falls. Predicting when and how much rain will fall is challenging because of …
Rainfall variability over multiple cities of India: analysis and forecasting using deep learning models
India being an agrarian economy, rainfall is an essential component that directly or indirectly
influences agricultural produce. With the increasing impacts of the changing climate …
influences agricultural produce. With the increasing impacts of the changing climate …
Analysis and Forecasting of Temporal Rainfall Variability Over Hundred Indian Cities Using Deep Learning Approaches
India, a topographically and meteorologically rich country, has a vast range of rainfall
variability. The impacts could be realized across various sectors, including agriculture …
variability. The impacts could be realized across various sectors, including agriculture …
Probabilistic air quality forecasting using deep learning spatial–temporal neural network
Regional air quality monitoring, a critical component of sustainable development is realized
through various air quality observation stations established across a region. Accurate …
through various air quality observation stations established across a region. Accurate …
Leveraging Radial Basis Function Neural Networks for Rainfall Prediction in Andhra Pradesh
N Srinu, S Sivahari, MR Kale - 2022 International Conference …, 2022 - ieeexplore.ieee.org
The amount of water in dams and the availability of water for farming both depend on
rainfall. As a result of global warming and other factors, it is difficult to make reliable …
rainfall. As a result of global warming and other factors, it is difficult to make reliable …
FedLSTM Based Cooperative Weather Prediction in RAN
OK Joel, S Liu, Q Li, X Ge - 2024 IEEE/CIC International …, 2024 - ieeexplore.ieee.org
In regions such as Botswana, where agriculture, water resources, and public safety are
heavily impacted by variable climates and extreme weather, intelligent weather forecasting …
heavily impacted by variable climates and extreme weather, intelligent weather forecasting …
Analysis of Machine Learning Algorithms for Prediction of Short-term Rainfall Amounts Using Uganda's Lake Victoria Basin Weather Dataset.
As a result of climate change, the difficulty in the prediction of short-term rainfall amounts has
become a necessary area of research. The existing numerical weather prediction models …
become a necessary area of research. The existing numerical weather prediction models …
Rainfall Presage Forecast Using Machine Learning Approach
Rainfall prediction is vital for various applications such as agriculture, flood control, and
water resource management. Accurate rainfall prediction can help farmers to make …
water resource management. Accurate rainfall prediction can help farmers to make …