Deep learning for Covid-19 forecasting: State-of-the-art review.
The Covid-19 pandemic has galvanized scientists to apply machine learning methods to
help combat the crisis. Despite the significant amount of research there exists no …
help combat the crisis. Despite the significant amount of research there exists no …
Progress and prospects of future urban health status prediction
Predicting future urban health status is significant in terms of identifying urban diseases and
urban planning. Current studies have focused on using machine learning and deep learning …
urban planning. Current studies have focused on using machine learning and deep learning …
COVID‐19 pandemic forecasting using CNN‐LSTM: a hybrid approach
ZM Zain, NM Alturki - Journal of Control Science and …, 2021 - Wiley Online Library
COVID‐19 has sparked a worldwide pandemic, with the number of infected cases and
deaths rising on a regular basis. Along with recent advances in soft computing technology …
deaths rising on a regular basis. Along with recent advances in soft computing technology …
Harnessing the power of AI: Advanced deep learning models optimization for accurate SARS-CoV-2 forecasting
The pandemic has significantly affected many countries including the USA, UK, Asia, the
Middle East and Africa region, and many other countries. Similarly, it has substantially …
Middle East and Africa region, and many other countries. Similarly, it has substantially …
Predicting the epidemics trend of COVID-19 using epidemiological-based generative adversarial networks
The Coronavirus disease 2019 (COVID-19) is a respiratory illness that can spread from
person to person. Since the COVID-19 pandemic is spreading rapidly over the world and its …
person to person. Since the COVID-19 pandemic is spreading rapidly over the world and its …
TCLN: A Transformer-based Conv-LSTM network for multivariate time series forecasting
S Ma, T Zhang, YB Zhao, Y Kang, P Bai - Applied Intelligence, 2023 - Springer
The study of multivariate time series forecasting (MTSF) problems has high significance in
many areas, such as industrial forecasting and traffic flow forecasting. Traditional forecasting …
many areas, such as industrial forecasting and traffic flow forecasting. Traditional forecasting …
Ensemble learning for multi-class COVID-19 detection from big data
Coronavirus disease (COVID-19), which has caused a global pandemic, continues to have
severe effects on human lives worldwide. Characterized by symptoms similar to pneumonia …
severe effects on human lives worldwide. Characterized by symptoms similar to pneumonia …
Comparison of reduced order models based on dynamic mode decomposition and deep learning for predicting chaotic flow in a random arrangement of cylinders
Three reduced order models are evaluated in their capacity to predict the future state of an
unsteady chaotic flow field. A spatially fully developed flow generated in a random packing …
unsteady chaotic flow field. A spatially fully developed flow generated in a random packing …
Simulating immunization campaigns and vaccine protection against COVID-19 pandemic in Brazil
The vaccine roll-out has currently established a new trend in the fight against COVID-19. In
many countries, as vaccination cover rises, the economic and social disruptions are being …
many countries, as vaccination cover rises, the economic and social disruptions are being …
Spatio-temporal variation of Covid-19 health outcomes in India using deep learning based models
Deep learning methods have become the state of the art for spatio-temporal predictive
analysis in a wide range of fields, including environmental management, public health …
analysis in a wide range of fields, including environmental management, public health …