Home ›
Entities
› academia
› Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition
Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition
Research article (Scientific Reports, 2021) · cited 14× · AI/ML
Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition
Summary
Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition is a scholarly article[1].
Key Facts
Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition. Retrieved May 24, 2026, from https://4ort.xyz/entity/estimating-the-covid-19-prevalence-and-mortality-using-a-novel-data-driven-hybrid-model-based-on-ensemble-empirical-mode
MLA“Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/estimating-the-covid-19-prevalence-and-mortality-using-a-novel-data-driven-hybrid-model-based-on-ensemble-empirical-mode.
BibTeX@misc{4ortxyz_estimating-the-covid-19-prevalence-and-mortality-using-a-novel-data-driven-hybrid-model-based-on-ensemble-empirical-mode_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition}}, year = {2026}, url = {https://4ort.xyz/entity/estimating-the-covid-19-prevalence-and-mortality-using-a-novel-data-driven-hybrid-model-based-on-ensemble-empirical-mode}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition — https://4ort.xyz/entity/estimating-the-covid-19-prevalence-and-mortality-using-a-novel-data-driven-hybrid-model-based-on-ensemble-empirical-mode (retrieved 2026-05-24)
