Simulation Notes Europe, Volume 29(1), March 2019

Inside the Virtual Test Aircraft (VIRTTAC) Benchmark Model: Simulation Architecture

Nicolas Fezans | Christoph Deiler

Simulation Notes Europe SNE 29(1), 2019, 1-12
DOI: 10.11128/sne.29.on.10461

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Model-based Methodology for Identifying Capacity Limitations in Airports: Mexico City Airport Case

Miguel Mujica Mota | Idalia Flores

Simulation Notes Europe SNE 29(1), 2019, 13-25
DOI: 10.11128/sne.29.on.10462

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An Adaptable Full-Scale Aircraft Cabin in an Interconnected Simulation Environment

Mario Kallenbach | Stephan Kocks | Paul Frost | Ingo Voissel | Peter Hecker

Simulation Notes Europe SNE 29(1), 2019, 27-32
DOI: 10.11128/sne.29.tn.10463

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Probabilistic State Space Models – A Theoretical Framework with Practical Relevance

Peter Junglas

Simulation Notes Europe SNE 29(1), 2019, 33-38
DOI: 10.11128/sne.29.en.10464

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MATLAB/Simulink’s Variant Manager vs SESToPy

Christina Deatcu | Thorsten Pawletta | Hendrik Folkerts

Simulation Notes Europe SNE 29(1), 2019, 39-43
DOI: 10.11128/sne.29.sw.10466

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Comparison of Prediction Models for Delays of Freight Trains by Using Data Mining and Machine Learning Methods

Dennis Leser | Matthias Wastian | Matthias Rößler | Michael Landsiedl | Edmond Hajrizi

Simulation Notes Europe SNE 29(1), 2019, 45-47
DOI: 10.11128/sne.29.sn.10467

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ARGESIM Benchmarks on Modelling Approaches and Simulation Implementations – Development, Classification and Basis for Simulation Education

Felix Breitenecker | Andreas Körner | Horst Ecker | Nikolas Popper | Thorsten Pawletta

Simulation Notes Europe SNE 29(1), 2019, 49-61
DOI: 10.11128/sne.29.bn.10468

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