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Results: 214,974
Number of items: 214,974
  • Open Access
    Allerstorfer, R. (2024). Position-based quantum cryptography: From theory towards practice. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Stadelmann, B., Leonards, P. E. G., & Brandsma, S. H. (2024). A new class of contaminants of concern? A comprehensive review of liquid crystal monomers. Science of the Total Environment, 947, Article 174443. https://doi.org/10.1016/j.scitotenv.2024.174443
  • Open Access
    Zhang, Z., Papagianni, C., Speelman, F., & Grosso, P. (2024). Toward Complete Quantum Network Stacks: A Survey. IEEE Network, 38(5), 153-159. https://doi.org/10.1109/MNET.2024.3402951
  • Open Access
    Mann, Z. Á. (2024). Urgency in Cybersecurity Risk Management: Toward a Solid Theory. In 2024 IEEE 37th Computer Security Foundations Symposium: proceedings : 8-12 July 2024, Enschede, The Netherlands (pp. 651-664). (CSF). IEEE Computer Society. https://doi.org/10.1109/CSF61375.2024.00051
  • Open Access
    Mesarcik, M. B. (2024). Machine learning-based anomaly detection for radio telescopes. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Deuze, M., & Glitsos, L. (2024). What Journalism Feels Like: Considering the Body of the Journalist. Journalism and Media, 5(4), 1851-1865. https://doi.org/10.3390/journalmedia5040112
  • Open Access
    Habart, E., Tielens, A. G. G. M., Candian, A., Lee, T. J., Petrignani, A., & PDRs4All program (2024). PDRs4All II: JWST's NIR and MIR imaging view of the Orion Nebula. Astronomy & Astrophysics, 685, Article A73. https://doi.org/10.1051/0004-6361/202346747
  • Open Access
    Hałat, Z., Dechmann, D. K. N., Kranstauber, B., Komar, E., Zegarek, M., Kohles, J. E., Muturi, M., Calderón-Capote, M. C., & Ruczyński, I. (2024). Foraging male particoloured bats use local enhancement and group facilitation during spermatogenesis. Animal behaviour, 217, 123-131. https://doi.org/10.1016/j.anbehav.2024.08.020
  • Open Access
    Jurgens, S. J. (2024). Advances in cardiogenetics: From large-scale genomics to clinical considerations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Islam, M. M., de Vente, C., Liefers, B., Klaver, C., Bekkers, E. J., & Sánchez, C. I. (2024). Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions. Proceedings of Machine Learning Research, 250, 672-693. https://doi.org/10.48550/arXiv.2412.04935
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