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