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Measures used to assess performance of simulation, predicti..:
Jiaqi Wen
;
Bogdan Gabrys
;
Katarzyna Musial
doi:10.1371/journal.pone.0296426.t002. , 2024
Link:
https://doi.org/10.1371/journal.pone.0296426.t002
RT Journal T1
Measures used to assess performance of simulation, prediction and/or control models of DT-CNS dynamics
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_24930024&Exemplar=1&LAN=DE A1 Jiaqi Wen A1 Bogdan Gabrys A1 Katarzyna Musial YR 2024 K1 Biotechnology K1 Infectious Diseases K1 Biological Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 modelling process focuses K1 higher infection risks K1 faithfully represent real K1 extendable modelling framework K1 experimental results show K1 different transmissibilities related K1 towards digital twin K1 influence network growth K1 incorporate various features K1 social networks given K1 interaction rules respectively K1 network growth K1 digital twin K1 social distance K1 interaction rules K1 different levels K1 xlink "> K1 study proposes K1 preferred features K1 mitigation policies K1 generating networks K1 feature diversity K1 epidemic spread K1 epidemic outbreak K1 dynamics complexities K1 disaster resilience K1 creating connections K1 conduct experiments K1 case study K1 built based K1 analysis revealed JF doi:10.1371/journal.pone.0296426.t002 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0296426.t002 DO https://doi.org/10.1371/journal.pone.0296426.t002 SF ELIB - SuUB Bremen
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