Integrating artificial intelligence with mechanistic epidemiological modeling: a sco** review of opportunities and challenges
Integrating prior epidemiological knowledge embedded within mechanistic models with the
data-mining capabilities of artificial intelligence (AI) offers transformative potential for …
data-mining capabilities of artificial intelligence (AI) offers transformative potential for …
[HTML][HTML] Global infectious disease early warning models: An updated review and lessons from the COVID-19 pandemic
WH Hu, HM Sun, YY Wei, YT Hao - Infectious Disease Modelling, 2024 - Elsevier
An early warning model for infectious diseases is a crucial tool for timely monitoring,
prevention, and control of disease outbreaks. The integration of diverse multi-source data …
prevention, and control of disease outbreaks. The integration of diverse multi-source data …
Characterization of loading, relaxation, and recovery behaviors of high‐density polyethylene using a three‐branch spring‐dashpot model
F Shi, PYB Jar - Polymer Engineering & Science, 2024 - Wiley Online Library
This paper presents an analysis of the stress evolution of high‐density polyethylene (HDPE)
at loading, relaxation, and recovery stages in a multi‐relaxation‐recovery (RR) test. The …
at loading, relaxation, and recovery stages in a multi‐relaxation‐recovery (RR) test. The …
A constrained optimisation framework for parameter identification of the SIRD model
We consider a numerical framework tailored to identifying optimal parameters in the context
of modelling disease propagation. Our focus is on understanding the behaviour of …
of modelling disease propagation. Our focus is on understanding the behaviour of …