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Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives
There have been relatively fewer studies focusing on the investigations of the inherent time-lagged or time-delayed relationships e. g. between the reproduction number (R number), infection cases, and deaths, analyzing the pandemic spread from a systems thinking and dynamic perspective.
Quasi-Linear Transfer Function: A New Method for Frequency Domain Analysis of Nonlinear Systems
A new concept, called quasi-linear transfer functions (QLTF), which can be used to characterize the output frequency behaviour of nonlinear systems, is introduced based on the well-known Volterra series representation.
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