Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach

Autor: Sonja Georgievska, Philip Rutten, Jan Amoraal, Elena Ranguelova, Rena Bakhshi, Ben L. de Vries, Michael Lees, Sander Klous

Publikováno v: Journal of Big Data, Vol 6, Iss 1, Pp 1-23 (2019)

Abstract We address the problem of detecting highly raised crowd density in situations such as indoor dance events. We propose a new method for estimating crowd density by anonymous, non-participatory, indoor Wi-Fi localization of smart phones. Using

Externí odkaz: https://doaj.org/article/7d4a8ff6487d4186a6fe00647692909e

Community membership consistency applied to corporate board interlock networks

Autor: Dafne E. van Kuppevelt, Rena Bakhshi, Frank W. Takes, Eelke M. Heemskerk

Publikováno v: Journal of Computational Social Science. SPRINGERNATURE
Journal of Computational Social Science
Journal of Computational Social Science, 5(1), 841-860. Springer

Community detection is a well established method for studying the meso scale structure of social networks. Applying a community detection algorithm results in a division of a network into communities that is often used to inspect and reason about com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c4536f2efb7ac2aecad5a47cadd87e1
https://doi.org/10.1007/s42001-021-00145-5

HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR. Description, model performance, data handling and validation

Autor: Jost von Hardenberg, Philippe Le Sager, Etienne Tourigny, Michiel van Weele, Louis-Philippe Caron, F. Fabiano, Paolo Davini, Eleftheria Exarchou, Gijs van den Oord, Virna Meccia, Susanna Corti, Rena Bakhshi, Mario Rodrigo, Ramon Fuentes Franco, Xavier J. Levine, Torben Koenigk, Yohan Ruprich-Robert, Miguel Castrillo, Uwe Fladrich, Javier García-Serrano, Mario Acosta, Rein Haarsma, Pierre-Antoine Bretonnière, Froila M. Palmeiro, Shiyu Wang, Klaus Wyser, Twan van Noije

A new global high-resolution coupled climate model, EC-Earth3P-HR has been developed by the EC-Earth consortium, with a resolution of approximately 40 km for the atmosphere and 0.25 degree for the ocean, alongside with a standard resolution version o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb343336479edb0cf8817cb24c3b6874
https://www.geosci-model-dev-discuss.net/gmd-2019-350/

Parallel Post-Processing of the Earth Climate Model Output

Autor: Gijs van den Oord, Rena Bakhshi

Publikováno v: ICCS

The increasing resolution of climate and weather models has resulted in a fast growth of their data production. This calls for a modern and efficient approach to the post-processing of these data. To this end, we have developed a new software package

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a8afdb75c667ec0f92ba3f389ae7180f
https://doi.org/10.1016/j.procs.2017.05.146

Modeling and matching digital data marketplace policies

Autor: Rena Bakhshi, Leon Gommans, Lourens Veen, Sara Shakeri, Valentina Maccatrozzo, Cees de Laat, Paola Grosso

Publikováno v: IEEE 15th International Conference on eScience: proceedings : 24-27 September 2019, San Diego, California, 570-577
STARTPAGE=570;ENDPAGE=577;TITLE=IEEE 15th International Conference on eScience
eScience

Recently, Digital Data Marketplaces (DDMs) are gaining wide attention as a sharing platform among different organizations. That is due to the fact that sharing the information and participating in research collaborations play an important role in add

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5154e6ed022ba90d44f70242651a4701
https://dare.uva.nl/personal/pure/en/publications/modeling-and-matching-digital-data-marketplace-policies(a1ac6d65-0cec-4c0b-854f-ec499f27ecbb).html