Dataset Entries from this Author
This study explores the application of the
Long Short-Term Memory (LSTM) neural network architecture
to develop a machine learning model capable of predicting
the onset, cessation, and duration of rainfall seasons. Climate
observation data from weather stations in Entebbe, Kampala,
Kawanda, Namulonge, and Masindi were used. The dataset
includes 12,025 daily records from 1991 to 2021, consisting of
surface pressure, temperature, wind speed, relative humidity, and
rainfall amounts. Two main prediction tasks were addressed:
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