End-to-end design of wearable sensors
Wearable devices provide an alternative pathway to clinical diagnostics by exploiting
various physical, chemical and biological sensors to mine physiological (biophysical and/or …
various physical, chemical and biological sensors to mine physiological (biophysical and/or …
COVID-19 open source data sets: a comprehensive survey
In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM
COVID-19, responsible of infecting billions of people and economy across the globe,
requires detailed study of the trend it follows to develop adequate short-term prediction …
requires detailed study of the trend it follows to develop adequate short-term prediction …
Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study
Abstract The novel coronavirus (COVID-19) has significantly spread over the world and
comes up with new challenges to the research community. Although governments imposing …
comes up with new challenges to the research community. Although governments imposing …
Time series forecasting of COVID-19 transmission in Canada using LSTM networks
VKR Chimmula, L Zhang - Chaos, solitons & fractals, 2020 - Elsevier
Abstract On March 11 th 2020, World Health Organization (WHO) declared the 2019 novel
corona virus as global pandemic. Corona virus, also known as COVID-19 was first …
corona virus as global pandemic. Corona virus, also known as COVID-19 was first …
Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing
The outbreak of COVID-19 Coronavirus, namely SARS-CoV-2, has created a calamitous
situation throughout the world. The cumulative incidence of COVID-19 is rapidly increasing …
situation throughout the world. The cumulative incidence of COVID-19 is rapidly increasing …
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
Abstract The new Coronavirus (COVID-19) is an emerging disease responsible for infecting
millions of people since the first notification until nowadays. Developing efficient short-term …
millions of people since the first notification until nowadays. Developing efficient short-term …
[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 …
Estimation of COVID-19 prevalence in Italy, Spain, and France
Z Ceylan - Science of The Total Environment, 2020 - Elsevier
At the end of December 2019, coronavirus disease 2019 (COVID-19) appeared in Wuhan
city, China. As of April 15, 2020,> 1.9 million COVID-19 cases were confirmed worldwide …
city, China. As of April 15, 2020,> 1.9 million COVID-19 cases were confirmed worldwide …
Impact of COVID-19 outbreaks and interventions on influenza in China and the United States
L Feng, T Zhang, Q Wang, Y Xie, Z Peng… - Nature …, 2021 - nature.com
Abstract Coronavirus disease 2019 (COVID-19) was detected in China during the 2019–
2020 seasonal influenza epidemic. Non-pharmaceutical interventions (NPIs) and behavioral …
2020 seasonal influenza epidemic. Non-pharmaceutical interventions (NPIs) and behavioral …