HIGHLIGHTS
- who: MDPI from the Department of Computer Systems Techniques, Qurna Technique Institute, Southern Technical University, (Nav6) Centre, Universiti Sains Malaysia, Gelugor, Penang, Malaysia have published the Article: Type of the Paper (Article, in the : Processes 2023, 11, 481. of /2023/
- what: The aim of this study is to build a model based on the exponential smoothing-long-short term memory (ES-LSTM) structure and recurrent neural networks (RNNs) for predicting hourly precipitation seasons; and classify the precipitation using artificial neural network (ANN) model and decision tree (DT) algorithm.
- how: To address the abovementioned . . .
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