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Noah Klarmann
Noah Klarmann
Full Professor, Rosenheim Technical University of Applied Sciences
Verified email at th-rosenheim.de - Homepage
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Cited by
Cited by
Year
Linearized Euler equations for the prediction of linear high-frequency stability in gas turbine combustors
M Schulze, T Hummel, N Klarmann, F Berger, B Schuermans, ...
Turbo Expo: Power for Land, Sea, and Air 49767, V04BT04A045, 2016
532016
Flamelet generated manifolds for partially premixed, highly stretched and non-adiabatic combustion in gas turbines
N Klarmann, T Sattelmayer, W Geng, F Magni
54th AIAA Aerospace Sciences Meeting, 2120, 2016
262016
Numerical modeling of CO-emissions for gas turbine combustors operating at part-load conditions
N Klarmann, BT Zoller, T Sattelmayer
Journal of the global power and propulsion society 2, 376-387, 2018
242018
Impact of flame stretch and heat loss on heat release distributions in gas turbine combustors: Model comparison and validation
N Klarmann, T Sattelmayer, W Geng, BT Zoller, F Magni
Turbo Expo: Power for Land, Sea, and Air 49767, V04BT04A031, 2016
232016
Elimination of numerical damping in the stability analysis of noncompact thermoacoustic systems with linearized euler equations
T Hofmeister, T Hummel, F Berger, N Klarmann, T Sattelmayer
Journal of Engineering for Gas Turbines and Power 143 (3), 031013, 2021
102021
Continual learning on incremental simulations for real-world robotic manipulation tasks
J Josifovski, M Malmir, N Klarmann, A Knoll
2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics at …, 2020
102020
Analysis of Randomization Effects on sim2real transfer in reinforcement learning for robotic manipulation tasks
J Josifovski, M Malmir, N Klarmann, BL Žagar, N Navarro-Guerrero, ...
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
92022
Robust sim2real transfer by learning inverse dynamics of simulated systems
M Malmir, J Josifovski, N Klarmann, A Knoll
2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics, 2020
62020
Modeling of CO Emissions in Multi-Burner Systems With Fuel Staging
N Klarmann, BT Zoller, T Sattelmayer
Turbo Expo: Power for Land, Sea, and Air 58615, V04AT04A049, 2019
62019
Modeling turbulent combustion and CO emissions in partially-premixed conditions considering flame stretch and heat loss
N Klarmann
Verlag Dr. Hut, 2019
62019
A Reinforcement Learning Approach for Scheduling Problems with Improved Generalization through Order Swapping
D Vivekanandan, S Wirth, P Karlbauer, N Klarmann
Machine Learning and Knowledge Extraction 5 (2), 418-430, 2023
32023
Autoencoder-Based Visual Anomaly Localization for Manufacturing Quality Control
D Mehta, N Klarmann
Machine Learning and Knowledge Extraction 6 (1), 1-17, 2023
22023
Optimising trajectories in simulations with deep reinforcement learning for industrial robots in automotive manufacturing
N Klarmann, M Malmir, J Josifovski, D Plorin, M Wagner, AC Knoll
AI for Digitising Industry, 35-45, 2021
22021
Manufacturing Quality Control with Autoencoder-Based Defect Localization and Unsupervised Class Selection
D Mehta, N Klarmann
arXiv preprint arXiv:2309.06884, 2023
2023
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
M Malmir, J Josifovski, N Klarmann, A Knoll
arXiv preprint arXiv:2306.09010, 2023
2023
Artificial Intelligence Narratives: An Objective Perspective on Current Developments
N Klarmann
arXiv preprint arXiv:2103.11961, 2021
2021
Canonical validation of a modeling strategy for carbon monoxide emissions in staged operation of gas turbine combustors
N Klarmann, T Sattelmayer
Journal of the Global Power and Propulsion Society 4, 161-175, 2020
2020
Modellierung der CO-Bildung und-Oxidation in Mehrbrennersystemen mit Brennstoffstufung
N Klarmann, T Sattelmayer, B Zoller, F Magni
Tagungsband, 2016
2016
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