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Results: 719
Number of items: 719
  • Open Access
    van Zuijlen, P. P. M., Korkmaz, H. I. K., Sheraton, V. M., Haanstra, T. M., Pijpe, A., de Vries, A., van der Vlies, C. H., Bosma, E., de Jong, E., Middelkoop, E., Vermolen, F. J., & Sloot, P. M. A. (2022). The Future of Burn Care From a Complexity Science Perspective. Journal of Burn Care & Research, 43(6), 1312-1321. https://doi.org/10.1093/jbcr/irac029
  • Open Access
    van der Zwet, K., Barros, A. I., van Engers, T. M., & Sloot, P. M. A. (2022). Emergence of protests during the COVID-19 pandemic: quantitative models to explore the contributions of societal conditions. Humanities and Social Sciences Communications, 9, Article 68. https://doi.org/10.1057/s41599-022-01082-y
  • Open Access
    Rutten, P., Lees, M. H., Klous, S., Heesterbeek, H., & Sloot, P. M. A. (2022). Modelling the dynamic relationship between spread of infection and observed crowd movement patterns at large scale events. Scientific Reports, 12, Article 14825. https://doi.org/10.1038/s41598-022-19081-z
  • Open Access
    Melnikov, V. R., Christopoulos, G. I., Krzhizhanovskaya, V. V., Lees, M. H., & Sloot, P. M. A. (2022). Behavioural thermal regulation explains pedestrian path choices in hot urban environments. Scientific Reports, 12, Article 2441. https://doi.org/10.1038/s41598-022-06383-5
  • Open Access
    Karbovskii, V., Lees, M., Presbitero, A., Kurilkin, A., Voloshin, D., Derevitskii, I., Karsakov, A., & Sloot, P. M. A. (2021). Ensemble learning for large-scale crowd flow prediction. Engineering Applications of Artificial Intelligence, 106, Article 104469. https://doi.org/10.1016/j.engappai.2021.104469
  • Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2021). Preface. In M. Paszynski, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021 : proceedings (Vol. I, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12742). Springer. https://doi.org/10.1007/978-3-030-77961-0
  • Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2021). Preface. In M. Paszynski, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021 : proceedings (Vol. II, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12743). Springer. https://doi.org/10.1007/978-3-030-77964-1
  • Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2021). Preface. In M. Paszynski, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021 : proceedings (Vol. III, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12744). Springer. https://doi.org/10.1007/978-3-030-77967-2
  • Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2021). Preface. In M. Paszynski, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021 : proceedings (Vol. IV, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12745). Springer. https://doi.org/10.1007/978-3-030-77970-2
  • Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2021). Preface. In M. Paszynski, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021 : proceedings (Vol. V, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12746). Springer. https://doi.org/10.1007/978-3-030-77977-1
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