Work

Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML

Year: 2020

Type: book-chapter

Source: SpringerBriefs in applied sciences and technology

DOI: 10.1007/978-3-030-61913-8_5

Authors: Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, José Xavier-Neto, Simon James Fong

Institutions: University of Saint Joseph, University of Macau

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3110311449

FWCI: 5.932

Cites: 2

Cited by: 8

Related to: 10