Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

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Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

This research proposes a ‘temporal attention’ addition for long-short term memory (LSTM) models for dengue prediction. The number of monthly dengue cases was collected for each of five Malaysian states i.e. Selangor, Kelantan, Johor, Pulau Pinang, and Melaka from 2011 to 2016. Climatic, demographic,...

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Bibliographic Details
Main Authors:	Majeed, Mokhalad A., Shafri, Helmi Z. M., Wayayok, Aimrun, Zulkafli, Zed
Format:	Article
Published:	PAGEPress Publications 2023
Online Access:	http://psasir.upm.edu.my/id/eprint/110101/

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