2026-10-10T01:39:08Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34048859 2026-10-01T17:37:46Z category_21 category_734 category_931 category_811 category_64 category_106 portal_5 item_type_3 month_year_10_2026

<p>Optimisation parameters for the neural-augmented ODE adjustment, using UDE.</p> Morteza Babazadeh Shareh (25157822) Florian Kleiner (11011899) Michael Böhme (11478418) Corinna Hägele (25157825) Petra Dickmann (5050031) Rainer Heintzmann (112278) Biotechnology Biological Sciences not elsewhere classified Information Systems not elsewhere classified Mathematical Sciences not elsewhere classified Cancer Science Policy small neural network r &# 178 public health measures offering different strengths investigating three modifications incorporating external factors 000 patient records framework directly addresses framework could serve capturing nonlinear effects results link vaccination public health interventions based epidemiological applications recent local data 19 epidemiological data germany </ p mathematical framework nonlinear dynamics local modelling 19 outbreak vaccination strategies vaccination data xlink "> without changing week horizon therefore refined term prediction temporal dependence technique based study introduces sparse identification single region second approach scenario analysis past week original values last method intervention scenarios infectious diseases future outbreaks fitted using first approach exploring responses differential equations differential equation current study coefficients fixed coefficient values advanced method <p>Optimisation parameters for the neural-augmented ODE adjustment, using UDE.</p> 2026-10-01T17:37:24Z Dataset Dataset 10.1371/journal.pone.0344409.t004 https://figshare.com/articles/dataset/_p_Optimisation_parameters_for_the_neural-augmented_ODE_adjustment_using_UDE_p_/34048859 CC BY 4.0