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BEO-COVID: Decision making tool based on evaluation and optimisation of models in UPPAAL
Larsen, Kim Guldstrand
(PI)
Stoustrup, Jakob
(CoPI)
Jensen, Peter Gjøl
(Project Participant)
Mikučionis, Marius
(Project Participant)
Jørgensen, Kenneth Yrke
(Project Participant)
Muniz Rodriguez, Marco Antonio
(Project Participant)
Poulsen, Danny Bøgsted
(Project Participant)
Tschaikowski, Max
(Project Participant)
Artificial Intelligence and Machine Learning
AI for the People
CISS - Center for Embedded Software Systems
Distributed, Embedded and Intelligent Systems
The Technical Faculty of IT and Design
Department of Computer Science
Automation & Control
Department of Electronic Systems
Support
AAU Shared Services
IT-Services
Overview
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Press/Media
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Keyphrases
Novo Nordisk
100%
UPPAAL
100%
Decision Support Tool
75%
COVID
50%
School Reopening
50%
Support Decision
50%
Data-driven Modeling
50%
Model Optimization
50%
Decision Support
50%
Sudden Change
50%
Fluid Model Checking
50%
Model Uncertainty
50%
Health Authorities
50%
Danish Society
50%
Evaluation Model
50%
Epidemiological Model
25%
Anlysis
25%
Superspreader Events
25%
Massive Parallelism
25%
Complex Scenarios
25%
Supercomputer
25%
Engineering
Fluid Model
50%
Stochastic Hybrid Model
50%
Statistical Model
50%
Novo Nordisk
50%
Sudden Change
25%
Parallelism
25%
Model Uncertainty
25%