Henrik Riedel 
- : Strength Lab AI: a mixture-of-experts deep learning approach for limit state analysis and design of monolithic and laminate structures made of glass. Dans: Glass Structures & Engineering.
- (2024): Crack segmentation for high-speed imaging: detection of fractures in thermally toughened glass. Dans: Glass Structures & Engineering, v. 9, n. 2 (mai 2024).
- (2023): High‐speed drive‐by monitoring: field testing with an intercity express train (ICE). Dans: ce/papers, v. 6, n. 5 (septembre 2023).
- (2023): QUICK‐B‐WIM: Large scale application of a moving force identification method on a railway bridge. Dans: ce/papers, v. 6, n. 5 (septembre 2023).
- (2023): Long‐term validation of virtual sensing of a railway bridge with ballasted superstructure. Dans: ce/papers, v. 6, n. 5 (septembre 2023).
- (2023): Virtual Axle Detector: Train Axle Localization based on Bridge Vibrations. Dans: ce/papers, v. 6, n. 5 (septembre 2023).
- (2022): SOUNDLAB AI Tool – Machine Learning zur Bestimmung des bewerteten Schalldämmmaßes. Dans: ce/papers, v. 5, n. 1 (février 2022).
- (2023): Temp-AI-Estimator: Interior temperature prediction using domain-informed Deep Learning. Dans: Energy and Buildings, v. 297 (octobre 2023).
- (2022): Automated quality control of vacuum insulated glazing by convolutional neural network image classification. Dans: Automation in Construction, v. 135 (mars 2022).
- (2022): SoundLab AI-Machine learning for sound insulation value predictions of various glass assemblies. Dans: Glass Structures & Engineering, v. 7, n. 1 (avril 2022).
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