Publications

I published in several computer and traffic science related journals and participated in international conferences.

Journals:

• S. Reitmann, M. Schultz. “An Adaptive Framework for Optimization and Prediction of Air Traffic Management (Sub-)Systems with Machine Learning”. In: Aerospace. 2022; 9(2):77. DOI: 10.3390/aerospace9020077. URL: https://www.mdpi.com/2226-4310/9/2/77

• S. Reitmann, B. Jung, E. V. Kudryashova und V. Reitmann. “Observation Stability and Convergence for Neural-type Evolutionary Variational Inequalities”. In: Differential Equations and Control Processes N.2 (2021). ISSN: 1817-2172. URL: https://diffjournal.spbu.ru/pdf/21208-jdecp-reitmann.pdf

• S. Reitmann, L. Neumann und B. Jung. “BLAINDER—A Blender AI Add-On for Generation of Semantically Labeled Depth-Sensing Data”. In: Sensors 21.6 (2021). ISSN: 1424-8220. DOI: 10.3390/s21062144. URL: https://www.mdpi.com/1424-8220/21/6/2144.

• M. Schultz, S. Reitmann und Sameer Alam. “Predictive Classification and Understanding of Weather Impact on Airport Performance through Machine Learning”. In: Transportation Research Part C: Emerging Technologies (eingereicht 2020).

• M. Schultz und S. Reitmann. “Machine learning approach to predict aircraft boarding”. In: Transportation Research Part C: Emerging Technologies 98 (Jan. 2019), S. 391–408. ISSN: 0968-090X. DOI: 10.1016/j.trc.2018.09.007. URL: http://www.sciencedirect.com/science/article/pii/S0968090X18312580.

• M. Schultz und S. Reitmann. “Consideration of Passenger Interactions for the Prediction of Aircraft Boarding Time”. In: Aerospace 5.4 (Sep. 2018), S. 101. DOI: 10.3390/aerospace5040101. URL: https://www.mdpi.com/2226-4310/5/4/101.

Conference Proceedings:

• F. Richter, S. Reitmann, B. Jung. “Integration of open geo data into virtual worlds”. In: Proc. 6th International Conference on Virtual and Augmented Reality Simulations (ICVARS 2022). To appear.

• S. Reitmann, B. Jung. “Generating Synthetic Labeled Data of Animated Fish Swarms in 3D Worlds with Particle Systems and Virtual Sound Wave Sensors”. 2nd International Conference on Cyber-Physical Systems and Control, CPS&C’2021. To appear. (Best Paper Award)

• S. Reitmann, E. V. Kudryashova, B. Jung und V. Reitmann. “Classification of Point Clouds with Neural Networks and Continuum-Type Memories”. In: Artificial Intelligence Applications and Innovations - AIAI 2021. IFIP Advances in Information and Communication Technology, Band 627, Springer, 2021, S. 505-517. ISBN: 978-3-030-79150-6 DOI: 10.1007/978-3-030-79150-6_40. URL: https://doi.org/10.1007/978-3-030-79150-6_40

• S. Reitmann und M. Schultz. “Computation of Air Traffic Flow Management Performance with Long Short-Term Memories Considering Weather Impact”. In: Artificial Neural Networks and Machine Learning – ICANN 2018. Bd. 11140. Lecture Notes in Computer Science. Springer, 2018, S. 532–541. ISBN: 978-3-030-01421-6. DOI: 10.1007/978-3-030-01421-6_51. URL: http://dx.doi.org/10.1007/978-3-030-01421-6_51.

• S. Reitmann und K. Nachtigall. “Applying Bidirectional Long Short-Term Memories (BLSTM) to Performance Data in Air Traffic Management for System Identification.” In: ICANN (2). Hrsg. von Alessandra Lintas u. a. Bd. 10614. Lecture Notes in Computer Science. Springer, 2017, S. 528–536. ISBN: 978-3-319-68612-7. URL: https://doi.org/10.1007/978-3-319-68612-7_60.

Theses:

• S. Reitmann. “Künstliche neuronale Netze im leistungsbasierten Luftverkehrsmanagement”. Diss. TU Dresden, 2020. URL: https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-729299.

• S. Reitmann. Entwicklung einer Methodik zur Erstellung generischer Flugpläne für Flughafencluster. 2015.

• S. Reitmann. Entwicklung eines Modells zum Vergleich von Flugprofilen unter Berücksichtigung stochastischer Störgrößen. 2014.