المؤلفون: Lobo, J., Aggarwal, R.M., Alberti, M., Allen-Dumas, M., Bettencourt, L.M.A., Boone, C., Brelsford, C., Broto, V.C., Eakin, H., Bagchi-Sen, S., Meerow, S., D’Cruz, C., Revi, A., Roberts, D.C., Smith, M.E., York, A., Lin, T., Bai, X., Solecki, W., Pataki, D., Tapia, L.B., Rockman, M., Wolfram, M., Schlosser, P., Gauthier, N.

وصف الملف: text

Relation: https://eprints.whiterose.ac.uk/200402/1/s42949-023-00113-0.pdf; Lobo, J. orcid.org/0000-0002-0814-7168 , Aggarwal, R.M. orcid.org/0000-0002-3579-5363 , Alberti, M. et al. (22 more authors) (2023) Integration of urban science and urban climate adaptation research: opportunities to advance climate action. npj Urban Sustainability, 3 (1). 32. ISSN 2661-8001

الاتاحة: https://eprints.whiterose.ac.uk/200402/
https://eprints.whiterose.ac.uk/200402/1/s42949-023-00113-0.pdf

المؤلفون: Omitaomu, O. A., Allen-Dumas, M. R., Liu, Y., Rastogi, D., Xu, H., Tennille, S., Miller, B., Niu, H.

المصدر: Oak Ridge National Laboratory Review; Fall2024, Vol. 57 Issue 2, p67-69, 3p

مصطلحات موضوعية: LANGUAGE models, MACHINE learning, INFORMATION technology, TRAFFIC patterns, DOWNSCALING (Climatology), SOLAR technology