Related references
Note: Only part of the references are listed.Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Chaolin Huang et al.
LANCET (2020)
Improved Binary Grey Wolf Optimizer and Its application for feature selection
Pei Hu et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study
Fei Zhou et al.
LANCET (2020)
Time series forecasting of COVID-19 transmission in Canada using LSTM networks
Vinay Kumar Reddy Chimmula et al.
CHAOS SOLITONS & FRACTALS (2020)
Forecast and evaluation of COVID-19 spreading in USA with re duce d-space Gaussian process regression
Ricardo Manuel Arias Velasquez et al.
CHAOS SOLITONS & FRACTALS (2020)
Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends™ Analysis
Maria Effenberger et al.
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES (2020)
COVID-19 infection: Origin, transmission, and characteristics of human coronaviruses
Muhammad Adnan Shereen et al.
JOURNAL OF ADVANCED RESEARCH (2020)
Design of A Recurrent Neural Network Model for Machine Reading Comprehension
Uttam Singh et al.
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE (2020)
Multi-step ahead forecasting of global solar radiation for arid zones using deep learning
Deeksha Chandola et al.
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE (2020)
ARIMA modelling & forecasting of COVID-19 in top five affected countries
Alok Kumar Sahai et al.
DIABETES & METABOLIC SYNDROME-CLINICAL RESEARCH & REVIEWS (2020)
Application of the ARIMA model on the COVID-2019 epidemic dataset
Domenico Benvenuto et al.
DATA IN BRIEF (2020)
COVID-19 Future Forecasting Using Supervised Machine Learning Models
Furqan Rustam et al.
IEEE ACCESS (2020)
Air Quality Forecasting Based on Gated Recurrent Long Short Term Memory Model in Internet of Things
Baowei Wang et al.
IEEE ACCESS (2019)
Online big data-driven oil consumption forecasting with Google trends
Lean Yu et al.
INTERNATIONAL JOURNAL OF FORECASTING (2019)
A Novel Data-Driven Model for Real-Time Influenza Forecasting
Siva R. Venna et al.
IEEE ACCESS (2019)
Predicting Infectious Disease Using Deep Learning and Big Data
Sangwon Chae et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2018)
Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction
Mingjing Wang et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)
Dynamic Forecasting of Zika Epidemics Using Google Trends
Yue Teng et al.
PLOS ONE (2017)
Grey Wolf Optimizer for parameter estimation in surface waves
Xianhai Song et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2015)
How does Google search affect trader positions and crude oil prices?
Xin Li et al.
ECONOMIC MODELLING (2015)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
The Use of Twitter to Track Levels of Disease Activity and Public Concern in the US during the Influenza A H1N1 Pandemic
Alessio Signorini et al.
PLOS ONE (2011)
Day-ahead electricity price forecasting using the wavelet transform and ARIMA models
AJ Conejo et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2005)
Time series forecasting using a hybrid ARIMA and neural network model
GP Zhang
NEUROCOMPUTING (2003)
Share Paper
