A pragmatic ensemble learning approach for rainfall prediction

S Ghosh, MK Gourisaria, B Sahoo, H Das - Discover Internet of Things, 2023 - Springer
Heavy rainfall and precipitation play a massive role in shaping the socio-agricultural
landscape of a country. Being one of the key indicators of climate change, natural disasters …

[HTML][HTML] A review on rainfall forecasting using ensemble learning techniques

S Kundu, SK Biswas, D Tripathi, R Karmakar… - e-Prime-Advances in …, 2023 - Elsevier
Significant challenges to human health and life have arisen as a result of heavy rains.
Floods and other natural disasters that affect people all over the world every year are …

A Review on Ensemble Model-Based Rainfall Prediction Techniques

H Bommala, GB Kumar, BS Babu… - … on Intelligent Data …, 2024 - ieeexplore.ieee.org
The most common catastrophes are rains, which cause fatalities and the destruction of
livelihoods, both of which have an impact on the economics of the countries. Several …

A deep learning ensemble model for short-term rainfall prediction

P Chitra, S Abirami - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Rainfall Prediction is an integral part of research these days with its applications ranging
from Disaster Management to Agricultural Technologies. Coastal cities like Chennai are …

Rainfall Prediction: analysis of machine learning algorithms and ensemble techniques

A Sharma, A Khanna, M Bhargava… - 2021 7th International …, 2021 - ieeexplore.ieee.org
In 2018, approximately 60% of land in India was reported as Agricultural Farmland. Most of
the farmers in India depend on rainfall as the primary source of irrigation which implies that …

Predicting rainfall using machine learning techniques

N Oswal - arXiv preprint arXiv:1910.13827, 2019 - arxiv.org
Rainfall prediction is one of the challenging and uncertain tasks which has a significant
impact on human society. Timely and accurate predictions can help to proactively reduce …

An AI-enabled ensemble method for rainfall forecasting using long-short term memory

S Kanani, S Patel, RK Gupta, A Jain, JCW Lin - 2023 - hvlopen.brage.unit.no
Rainfall prediction includes forecasting the occurrence of rainfall and projecting the amount
of rainfall over the modeled area. Rainfall is the result of various natural phenomena such as …

Application of machine learning ensemble models for rainfall prediction

H Ahmadi, B Aminnejad, H Sabatsany - Acta Geophysica, 2023 - Springer
Practical information can be drawn from rainfall for making long-term water resources
management plans, taking flood mitigation measures, and even establishing proper …

Machine learning-based rainfall prediction: Unveiling insights and forecasting for improved preparedness

MM Hassan, MAT Rony, MAR Khan, MM Hassan… - IEEE …, 2023 - ieeexplore.ieee.org
Rainfall prediction plays a crucial role in raising awareness about the potential dangers
associated with rain and enabling individuals to take proactive measures for their safety …

[PDF][PDF] Ensemble learning for rainfall prediction

NS Sani, AH Abd Rahman, A Adam… - International Journal of …, 2020 - researchgate.net
Climate change research is a discipline that analyses the varying weather patterns for a
particular period of time. Rainfall forecasting is the task of predicting particular future rainfall …