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Dr. Robert Löw University of Stuttgart

Replication Data for: Highly efficient real-time spatially resolved sensing of ultraviolet light, , , , , , , and . Dataset, (2025)Related to: Yannick Schellander, Fabian Munkes, Alexander Trachtmann, Patrick Schalberger, Robert Löw, Harald Kübler, Tilman Pfau, Norbert Fruehauf, "Highly efficient real-time spatially resolved sensing of ultraviolet light," Proc. SPIE 13109, Metamaterials, Metadevices, and Metasystems 2024, 1310906 (2024). doi: 10.1117/12.3028038.
Replication Data for: Highly efficient real-time spatially resolved sensing of ultraviolet light, , , , , , , and . Dataset, (2025)Related to: Yannick Schellander, Fabian Munkes, Alexander Trachtmann, Patrick Schalberger, Robert Löw, Harald Kübler, Tilman Pfau, Norbert Fruehauf, "Highly efficient real-time spatially resolved sensing of ultraviolet light," Proc. SPIE 13109, Metamaterials, Metadevices, and Metasystems 2024, 1310906 (2024). doi: 10.1117/12.3028038.Replication Data for: Ultraviolet Photodetectors and their Readout Realization for Future Active-Matrix Sensing, , , , , , , and . Dataset, (2025)Related to: Y. Schellander, M. Schamber, F. Munkes, R. Loew, P. Schalberger, H. Kübler, T. Pfau, and N. Fruehauf, “Ultraviolet photodetectors and their readout realization for future active-matrix sensing”, Proceedings of the International Display Workshops,30 (2023), 151-154. doi: 10.36463/idw.2023.0151.
 

Other publications of authors with the same name

Exploiting Tightly-Coupled Cores., , , and . Signal Processing Systems, 80 (1): 103-120 (2015)On the Reduction of Computational Complexity of Deep Convolutional Neural Networks., and . Entropy, 20 (4): 305 (2018)The Taboo Trap: Behavioural Detection of Adversarial Samples., , , and . CoRR, (2018)Configurable memory systems for embedded many-core processors., , and . CoRR, (2016)ADaPT: optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels., , , and . IML, page 43:1-43:12. ACM, (2017)Focused Quantization for Sparse CNNs., , , , and . NeurIPS, page 5585-5594. (2019)Can machine learning aid in delivering new use cases and scenarios in 5G?, , , , , , , , , and 7 other author(s). NOMS, page 1279-1284. IEEE, (2016)Integrated Terahertz Communication With Reflectors for 5G Small-Cell Networks., , and . IEEE Trans. Vehicular Technology, 66 (7): 5647-5657 (2017)To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression., , , and . CoRR, (2018)1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic Implementation., and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 21-29. Springer, (2017)