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Cited article:

A simple yet efficient data-driven model for the prediction of aircraft noise impact

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Aerospace Science and Technology 163 110286 (2025)
https://doi.org/10.1016/j.ast.2025.110286

Interpolation of scheduled simulation results for real-time auralization of moving sources

Philipp Schäfer, João Fatela and Michael Vorländer
Acta Acustica 8 9 (2024)
https://doi.org/10.1051/aacus/2023070

Deep learning based prediction of urban air mobility noise propagation in urban environment

Younghoon Kim and Soogab Lee
The Journal of the Acoustical Society of America 155 (1) 171 (2024)
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Heuristic solution for the acoustic radiation of a moving monopole in an inhomogeneous and moving atmosphere. Application to aircraft noise

Bill Kayser, Didier Dragna and Philippe Blanc-Benon
Acta Acustica 8 62 (2024)
https://doi.org/10.1051/aacus/2024048

Aircraft noise impact prediction with incorporation of meteorological effects

Chunhui Wu and Stephane Redonnet
Transportation Research Part D: Transport and Environment 125 103945 (2023)
https://doi.org/10.1016/j.trd.2023.103945

Urban Sound Auralization and Visualization Framework—Case Study at IHTApark

Josep Llorca-Bofí, Christian Dreier, Jonas Heck and Michael Vorländer
Sustainability 14 (4) 2026 (2022)
https://doi.org/10.3390/su14042026

Effects of atmospheric refraction on detecting elevated sources with beamforming algorithms

Geoffrey H. Goldman
The Journal of the Acoustical Society of America 152 (3) 1829 (2022)
https://doi.org/10.1121/10.0014173