Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19

Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19

Complex phenomena have some common characteristics, such as nonlinearity, complexity, and uncertainty. In these phenomena, components typically interact with each other and a part of the system may affect other parts or vice versa. Accordingly, the human brain, the Earth’s global climate, the spread...

Full description

Bibliographic Details
Main Authors: Mohammad (Behdad) Jamshidi, Sobhan Roshani, Fatemeh Daneshfar, Ali Lalbakhsh, Saeed Roshani, Fariborz Parandin, Zahra Malek, Jakub Talla, Zdeněk Peroutka, Alireza Jamshidi, Farimah Hadjilooei, Pedram Lalbakhsh
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:AI
Subjects:
artificial intelligence
complex phenomena
complex systems
COVID-19
deep learning
machine learning
Online Access:https://www.mdpi.com/2673-2688/3/2/25

Internet

https://www.mdpi.com/2673-2688/3/2/25

Similar Items