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Results: 198
Number of items: 198
  • Knol, D., de Leeuw, F., Meirink, J. F., & Krzhizhanovskaya, V. V. (2021). Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods. 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. 309-322). (Lecture Notes in Computer Science; Vol. 12746). Springer. https://doi.org/10.1007/978-3-030-77977-1_24
  • Kovalchuk, S. V., Krzhizhanovskaya, V. V., Paszyński, M., Závodszky, G., Lees, M. H., Dongarra, J., & Sloot, P. M. A. (2021). 20 years of computational science: Selected papers from 2020 International Conference on Computational Science. Journal of Computational Science, 53, Article 101395. https://doi.org/10.1016/j.jocs.2021.101395
  • Open Access
    Presbitero, A., Melnikov, V. R., Krzhizhanovskaya, V. V., & Sloot, P. M. A. (2021). A unifying model to estimate the effect of heat stress in the human innate immunity during physical activities. Scientific Reports, 11, Article 16688. https://doi.org/10.1038/s41598-021-96191-0
  • Open Access
    Suleimenova, D., Arabnejad, H., Edeling, W. N., Coster, D., Luk, O. O., Lakhlili, J., Jancauskas, V., Kulczewski, M., Veen, L., Ye, D., Zun, P., Krzhizhanovskaya, V., Hoekstra, A., Crommelin, D., Coveney, P. V., & Groen, D. (2021). Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. Journal of Computational Science, 53, Article 101402. https://doi.org/10.1016/j.jocs.2021.101402
  • Open Access
    Ye, D., Veen, L., Nikishova, A., Lakhlili, J., Edeling, W., Luk, O. O., Krzhizhanovskaya, V. V., & Hoekstra, A. G. (2021). Uncertainty quantification patterns for multiscale models. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2197), Article 20200072. https://doi.org/10.1098/rsta.2020.0072
  • Open Access
    Melnikov, V. (2021). Computational models of human response to urban heat: From physiology to behaviour. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Lees, M., Sloot, P. M., Krzhizhanovskaya, V. V., & Melnikov, V. (2020). Walking speeds in relation to climate in Singapore [Data set]. Mendeley Data. https://doi.org/10.17632/k5rf27hnhk.1
  • Cardoso, P. J. S., Rodrigues, J. M. F., Monteiro, J., Lam, R., Krzhizhanovskaya, V. V., Lees, M. H., Dongarra, J., & Sloot, P. M. A. (2020). Computational Science in the Interconnected World: Selected papers from 2019 International Conference on Computational Science. Journal of Computational Science, 47, Article 101222. https://doi.org/10.1016/j.jocs.2020.101222
  • Kovalchuk, S. V., Krzhizhanovskaya, V. V., & Sloot, P. M. A. (2020). 20 years of computational Science. Journal of Computational Science, 46, Article 101187. https://doi.org/10.1016/j.jocs.2020.101187
  • Krzhizhanovskaya, V. V., Závodszky, G., Lees, M., Dongarra, J., Sloot, P. M. A., Brissos, S., & Teixeira, J. (2020). Preface: Twenty Years of Computational Science. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. VII, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12143). Springer. https://doi.org/10.1007/978-3-030-50436-6
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