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Marine route optimization using reinforcement learning approach to reduce fuel consumption and consequently minimize CO2 emissions

Ocean engineering, 2022-09, Vol.259, p.111882, Article 111882

2022

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A New Approach for Modeling Cycle-to-Cycle Variations within the Framework of a Real Working-Process Simulation

SAE International journal of engines, 2013-06, Vol.6 (2), p.1099-1115, Article 2013-01-1315

2013

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Simulation der ottomotorischen zyklenschwankungen

Wenig, Markus

2014

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Towards ANN Based Digital Twins of Ship Propulsion Systems

Smart Services Summit, 2023, p.183-191

2023

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Assessment of the Influence of Grid Resolution on CO2 Reduction in Route Optimization Services Using Reinforcement Learning

Smart Services Summit, 2023, p.65-73

2023

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vRDE – Virtual Real Driving Emission

VPC - Simulation und Test 2016, 2017, p.19-36

2017

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vRDE – A virtual extension of the RDE tool chain

17. Internationales Stuttgarter Symposium, 2017, p.365-381

2017

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CFD Uncertainty Quantification using stochastic spectral methods—Exemplary application to a buoyancy-driven mixing process

Nuclear engineering and design, 2023-08, Vol.409, p.112317, Article 112317

2023

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CFD Uncertainty Quantification using PCE–HDMR: Exemplary Application to a Buoyancy-Driven Mixing Process

Flow, turbulence and combustion, 2024, Vol.112 (1), p.191-216

2024

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Associated abdominal injuries do not influence quality of care in pelvic fractures-a multicenter cohort study from the German Pelvic Registry

World journal of emergency surgery, 2020-01, Vol.15 (1), p.8-8, Article 8

2020

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Epistemic uncertainty in URANS based CFD analysis of buoyancy driven flows—Comparison of URANS and LES

Annals of nuclear energy, 2023-02, Vol.181, p.109563, Article 109563

2023

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Towards Uncertainty Quantification of LES and URANS for the Buoyancy-Driven Mixing Process between Two Miscible Fluids—Differentially Heated Cavity of Aspect Ratio 4

Fluids (Basel), 2021-04, Vol.6 (4), p.161

2021

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Single-shot temporal characterization of XUV pulses with duration from ∼10 fs to ∼350 fs at FLASH

Journal of physics. B, Atomic, molecular, and optical physics, 2020-09, Vol.53 (18), p.184004

2020

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Static behavior of weighing cells

Journal of sensors and sensor systems, 2018-11, Vol.7 (2), p.587-600

2018

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The cookery book of the monastery library of Michaelbeuern (Man.of cart. 81). Edition and commentary

Wurzburger medizinhistorische Mitteilungen, 2005, Vol.24, p.121

2005

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Cfd Uncertainty Quantification Using Stochastic Spectral Methods - Exemplary Application to a Buoyancy-Driven Mixing Process

SSRN Electronic Journal

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Co2 Reduction
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Computational Fluid Dynamics
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Finite Element Method
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Large Eddy Simulation
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Marine route optimization using reinforcement learning approach to reduce fuel consumption and consequently minimize CO2 emissions

A New Approach for Modeling Cycle-to-Cycle Variations within the Framework of a Real Working-Process Simulation

Simulation der ottomotorischen zyklenschwankungen

Towards ANN Based Digital Twins of Ship Propulsion Systems

Assessment of the Influence of Grid Resolution on CO2 Reduction in Route Optimization Services Using Reinforcement Learning

vRDE – Virtual Real Driving Emission

vRDE – A virtual extension of the RDE tool chain

CFD Uncertainty Quantification using stochastic spectral methods—Exemplary application to a buoyancy-driven mixing process

CFD Uncertainty Quantification using PCE–HDMR: Exemplary Application to a Buoyancy-Driven Mixing Process

Associated abdominal injuries do not influence quality of care in pelvic fractures-a multicenter cohort study from the German Pelvic Registry

Epistemic uncertainty in URANS based CFD analysis of buoyancy driven flows—Comparison of URANS and LES

Towards Uncertainty Quantification of LES and URANS for the Buoyancy-Driven Mixing Process between Two Miscible Fluids—Differentially Heated Cavity of Aspect Ratio 4

Single-shot temporal characterization of XUV pulses with duration from ∼10 fs to ∼350 fs at FLASH

Static behavior of weighing cells

The cookery book of the monastery library of Michaelbeuern (Man.of cart. 81). Edition and commentary

Cfd Uncertainty Quantification Using Stochastic Spectral Methods - Exemplary Application to a Buoyancy-Driven Mixing Process

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