Work

Improving COVID-19 Forecasts using Hybrid Machine Learning Models

Year: 2024

Type: conference-paper

Source: International Conference on Communications, Information, Electronic and Energy Systems (CIEES)

DOI: 10.1109/ciees62939.2024.10811297

Authors: Michael Onuoha, Aditya Kulkarni, Navrati Saxena

Institutions: San Jose State University, Walmart (United States)

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: W4405937339

FWCI: 2.258

Cites: 17

Cited by: 1

Related to: 10