Machine learning approach to predict aircraft boarding M Schultz, S Reitmann Transportation Research Part C: Emerging Technologies 98, 391-408, 2019 | 62 | 2019 |
Predictive classification and understanding of weather impact on airport performance through machine learning M Schultz, S Reitmann, S Alam Transportation Research Part C: Emerging Technologies 131, 103119, 2021 | 44 | 2021 |
Blainder—a blender ai add-on for generation of semantically labeled depth-sensing data S Reitmann, L Neumann, B Jung Sensors 21 (6), 2144, 2021 | 38 | 2021 |
Advanced quantification of weather impact on air traffic management S Reitmann, S Alam, M Schultz ATM Seminar 44, 554-567, 2019 | 25 | 2019 |
Prediction of aircraft boarding time using LSTM network M Schultz, S Reitmann 2018 Winter Simulation Conference (WSC), 2330-2341, 2018 | 20 | 2018 |
Applying bidirectional long short-term memories (BLSTM) to performance data in air traffic management for system identification S Reitmann, K Nachtigall Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 14 | 2017 |
Computation of air traffic flow management performance with long short-term memories considering weather impact S Reitmann, M Schultz Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 13 | 2018 |
Classification of weather impacts on airport operations M Schultz, S Reitmann, S Alam 2019 Winter Simulation Conference (WSC), 500-511, 2019 | 12 | 2019 |
An adaptive framework for optimization and prediction of air traffic management (sub-) systems with machine learning S Reitmann, M Schultz Aerospace 9 (2), 77, 2022 | 9 | 2022 |
Classification of point clouds with neural networks and continuum-type memories S Reitmann, EV Kudryashova, B Jung, V Reitmann Artificial Intelligence Applications and Innovations: 17th IFIP WG 12.5 …, 2021 | 8 | 2021 |
Performance benchmarking in interdependent ATM systems S Reitmann, A Gillissen, M Schultz Proceedings of the 7th International Conference for Research in Air …, 2016 | 8 | 2016 |
Consideration of passenger interactions for the prediction of aircraft boarding time M Schultz, S Reitmann Aerospace 5 (4), 101, 2018 | 7 | 2018 |
Advanced quantification of weather impact on air traffic management-intelligent weather categorization with machine learning S Reitmann, S Alam, M Schultz 13th USA/Europe ATM R&D Seminar, 2017 | 7 | 2017 |
AI-Prepared Autonomous Freshwater Monitoring and Sea Ground Detection by an Autonomous Surface Vehicle S Pose, S Reitmann, GJ Licht, T Grab, T Fieback Remote Sensing 15 (3), 860, 2023 | 5 | 2023 |
Integration of Open Geodata into Virtual Worlds F Richter, S Reitmann, B Jung Proceedings of the 6th International Conference on Virtual and Augmented …, 2022 | 4 | 2022 |
Prediction of passenger boarding progress using neural network approach M Schultz, S Reitmann Proceedings of the 8th International Conference on Research in Air …, 2018 | 3 | 2018 |
Artificial data analysis in air traffic management S Reitmann, M Schultz CEAS Aeronautical Journal, 2018 | 3 | 2018 |
Ableitung eines mathematischen Wirkungsmodells durch systematische Analyse von Leistungsindikatoren S Reitmann | 3 | 2017 |
Developing Generic Flight Schedules for Airport Clusters P Bießlich, S Reitmann, V Gollnick, K Lütjens, K Nachtigall, S Marx 5th CEAS Air and Space Conference, 2015 | 3 | 2015 |
Observation stability and convergence for neural-type evolutionary variational inequalities S Reitmann, B Jung, EV Kudryashova, V Reitmann Дифференциальные уравнения и процессы управления, 126-155, 2021 | 2 | 2021 |