HIGHLIGHTS
- who: Xiao Ning and colleagues from the State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Sipailou, Nanjing, China have published the article: Physics-Informed Neural Networks Integrating Compartmental Model for Analyzing COVID-19 Transmission Dynamics, in the Journal: Viruses 2023, 15, 1749. of 21/02/2020
- what: This study proposes advanced artificial intelligence approach based on physicsinformed neural networks (PINNs) to estimate time-varying parameters from given data for the compartmental model. The primary focus of this paper lies not only in introducing the PINNs method for estimating time . . .
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