A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of'deep'or'Q', or why the code sometimes fails. This book is …
T Carleton, J Cornetet, P Huybers… - Proceedings of the …, 2021 - National Acad Sciences
With nearly every country combating the 2019 novel coronavirus (COVID-19), there is a need to understand how local environmental conditions may modify transmission. To date …
In many fields, such as environmental risk assessment, agronomic system behavior, aerospace engineering, and nuclear safety, mathematical models turned into computer code …
An extension of the classical pandemic SIRD model is considered for the regional spread of COVID-19 in France under lockdown strategies. This compartment model divides the …
In this paper, the uncertainty quantification and sensitivity analysis of a mathematical model of the SARS-CoV-2 virus transmission dynamics with mass vaccination strategy has been …
An extended SIR model, including several features of the recent COVID-19 outbreak, is considered: the infected and recovered individuals can either be detected or undetected and …
VE Papageorgiou, G Tsaklidis - Applied Mathematical Modelling, 2023 - Elsevier
Efficient assessment of epidemic phenomena has an important role in modern epidemiology, while many novel methods propose reliable estimates for epidemic evolution …
L Roques, O Bonnefon, V Baudrot… - Royal Society …, 2020 - royalsocietypublishing.org
Raw data on the number of deaths at a country level generally indicate a spatially variable distribution of COVID-19 incidence. An important issue is whether this pattern is a …
When an epidemic spreads into a population, it is often impractical or impossible to continuously monitor all subjects involved. As an alternative, we propose using algorithmic …