Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases

Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases

Recent technologies such as artificial intelligence, machine learning, and big data are essential for supporting healthcare monitoring systems, particularly for monitoring Monkeypox confirmed cases. Infected and uninfected cases around the world have contributed to a growing dataset, which is public...

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Bibliographic Details
Main Authors: Marwa M. Eid, El-Sayed M. El-Kenawy, Nima Khodadadi, Seyedali Mirjalili, Ehsaneh Khodadadi, Mostafa Abotaleb, Amal H. Alharbi, Abdelaziz A. Abdelhamid, Abdelhameed Ibrahim, Ghada M. Amer, Ammar Kadi, Doaa Sami Khafaga
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Mathematics
Subjects:
monkeypox
meta-heuristic optimization
LSTM
deep learning
Online Access:https://www.mdpi.com/2227-7390/10/20/3845

Internet

https://www.mdpi.com/2227-7390/10/20/3845

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