Toward Smart Lockdown: A Novel Approach for COVID-19 Hotspots Prediction Using a Deep Hybrid Neural Network
COVID-19 caused the largest economic recession in the history by placing more than one third of world’s population in lockdown. The prolonged restrictions on economic and business activities caused huge economic turmoil that significantly affected the financial markets. To ease the growing pressure...
Main Authors: | Sultan Daud Khan, Louai Alarabi, Saleh Basalamah |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
|
Series: | Computers |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-431X/9/4/99 |
Similar Items
-
Comparison of Machine Learning Algorithms for Predicting Crime Hotspots
by: Xu Zhang, et al.
Published: (2020-01-01) -
Deep Hybrid Network for Land Cover Semantic Segmentation in High-Spatial Resolution Satellite Images
by: Sultan Daud Khan, et al.
Published: (2021-05-01) -
Time-Series Hourly Sea Surface Temperature Prediction Using Deep Neural Network Models
by: Farbod Farhangi, et al.
Published: (2023-05-01) -
Hotspot Detection of Semiconductor Lithography Circuits Based on Convolutional Neural Network
by: Xingyu Zhou, et al.
Published: (2018-12-01) -
Application of Deep-Learning-Based Models for Prediction of Stock Price in the Iranian Stock Market
by: Abdulrashid Jamnia, et al.
Published: (2022-07-01)