Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …
ageing global population to the current COVID-19 pandemic. In a world where we have …
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 …
[HTML][HTML] Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal …
Several machine learning and deep learning models were reported in the literature to
forecast COVID-19 but there is no comprehensive report on the comparison between …
forecast COVID-19 but there is no comprehensive report on the comparison between …
[HTML][HTML] Forecasting COVID-19 new cases using deep learning methods
L Xu, R Magar, AB Farimani - Computers in biology and medicine, 2022 - Elsevier
After nearly two years since the first identification of SARS-CoV-2 virus, the surge in cases
because of virus mutations is a cause of grave public health concern across the globe. As a …
because of virus mutations is a cause of grave public health concern across the globe. As a …
A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models
This study aims to develop an assumption-free data-driven model to accurately forecast
COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the …
COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the …
[HTML][HTML] Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach
L Zhou, C Zhao, N Liu, X Yao, Z Cheng - Engineering applications of …, 2023 - Elsevier
Individuals in any country are badly impacted both economically and physically whenever
an epidemic of infectious illnesses breaks out. A novel coronavirus strain was responsible …
an epidemic of infectious illnesses breaks out. A novel coronavirus strain was responsible …
Temporal deep learning architecture for prediction of COVID-19 cases in India
To combat the recent coronavirus disease 2019 (COVID-19), academician and clinician are
in search of new approaches to predict the COVID-19 outbreak dynamic trends that may …
in search of new approaches to predict the COVID-19 outbreak dynamic trends that may …
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 …
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …
decision support for policy makers. However, COVID-19 modelling efforts faced many …
Forecasting covid-19 pandemic using prophet, lstm, hybrid gru-lstm, cnn-lstm, bi-lstm and stacked-lstm for india
The COVID-19 Pandemic has been around for four years and remains a health concern for
everyone. Although things are somewhat returning to normal, increased incidence of COVID …
everyone. Although things are somewhat returning to normal, increased incidence of COVID …