Rainfall prediction system using machine learning fusion for smart cities
Precipitation in any form—such as rain, snow, and hail—can affect day-to-day outdoor
activities. Rainfall prediction is one of the challenging tasks in weather forecasting process …
activities. Rainfall prediction is one of the challenging tasks in weather forecasting process …
Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning
Monthly rainfall prediction is a crucial topic for the management of water resources and
prevention of hydrological disasters. To make a multi-step monthly rainfall prediction and …
prevention of hydrological disasters. To make a multi-step monthly rainfall prediction and …
Datasets from meteorological reanalyses and retrievals from satellites are the available
sources of large-scale information about solar radiation. However, both the reanalyses and …
sources of large-scale information about solar radiation. However, both the reanalyses and …
Time series data prediction using IoT and machine learning technique
Time series analysis and prediction have been widely accepted in various domains from last
two decades. Business analytics, Medical drugs & pharmaceutical, Dynamic Marketing …
two decades. Business analytics, Medical drugs & pharmaceutical, Dynamic Marketing …
Prediction of rainfall in Australia using machine learning
A Sarasa-Cabezuelo - Information, 2022 - mdpi.com
Meteorological phenomena is an area in which a large amount of data is generated and
where it is more difficult to make predictions about events that will occur due to the high …
where it is more difficult to make predictions about events that will occur due to the high …
A comparative study of extensive machine learning models for predicting long‐term monthly rainfall with an ensemble of climatic and meteorological predictors
Rainfall prediction is of vital importance in water resources management. Accurate long‐
term rainfall prediction remains an open and challenging problem. Machine learning …
term rainfall prediction remains an open and challenging problem. Machine learning …
Leveraging comparables for new product sales forecasting
Sales forecasting is central to the operations of most companies. Especially important is the
forecasting of new product sales, because these forecasts guide many decisions that …
forecasting of new product sales, because these forecasts guide many decisions that …