The role of the mass vaccination programme in combating the COVID-19 pandemic: An LSTM-based analysis of COVID-19 confirmed cases

Forecasting COVID-19 new cases using deep learning methods

(2022) Lu Xu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Temporal deep learning architecture for prediction of COVID-19 cases in India

(2022) Hanuman Verma et al.   EXPERT SYSTEMS WITH APPLICATIONS

Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe

(2021) Mohamed R. Ibrahim et al.   PLoS One

Time series predicting of COVID-19 based on deep learning

(2021) Madini O. Alassafi et al.   NEUROCOMPUTING

An interactive web-based dashboard to track COVID-19 in real time

(2020) Ensheng Dong et al.   LANCET INFECTIOUS DISEASES

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

(2020) Alex Sherstinsky   PHYSICA D-NONLINEAR PHENOMENA

COVID-19 pandemic: perspectives on an unfolding crisis

(2020) A. Spinelli et al.   BRITISH JOURNAL OF SURGERY

A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework

(2020) Fei Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Short‐term building load forecast based on a data‐mining feature selection and LSTM‐RNN method

(2020) Gaiping Sun et al.   IEEJ Transactions on Electrical and Electronic Engineering

Coronavirus disease 2019 (COVID-19): current status and future perspectives

(2020) Heng Li et al.   INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS

Time series forecasting of COVID-19 transmission in Canada using LSTM networks

(2020) Vinay Kumar Reddy Chimmula et al.   CHAOS SOLITONS & FRACTALS

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

(2020) Matheus Henrique Dal Molin Ribeiro et al.   CHAOS SOLITONS & FRACTALS

Evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as coronavirus disease 2019 (COVID-19) pandemic: A global health emergency

(2020) Thamina Acter et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

(2020) Ramon Gomes da Silva et al.   CHAOS SOLITONS & FRACTALS

Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India

(2020) Parul Arora et al.   CHAOS SOLITONS & FRACTALS

Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model

(2020) Refat Khan Pathan et al.   CHAOS SOLITONS & FRACTALS

Recent progress and challenges in drug development against COVID-19 coronavirus (SARS-CoV-2) - an update on the status

(2020) Tarek Mohamed Abd El-Aziz et al.   INFECTION GENETICS AND EVOLUTION