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pro vyhledávání: '"Charlotte L Ellison"'
Publikováno v:
GeoInformatica. 26:707-743
Autor:
William R Fields, Charlotte L Ellison
Publikováno v:
ITSC
Shared mobility services (such as electric scooters and ride shares) and the data they generate give us a unique opportunity to understand human mobility by combining trips with contextual data. Between-datasest correspondences shed light on the conn
Autor:
Brian S. Jenkins, Pavel Senin, Jessica Lin, Charlotte L. Ellison, Tim Oates, Crystal Chen, Arnold P. Boedihardjo
Publikováno v:
Advances in Spatial and Temporal Databases ISBN: 9783319643663
SSTD
SSTD
The increase in available spatial trajectory data has led to a massive amount of geo-positioned data that can be exploited to improve understanding of human behavior. However, the noisy nature and massive size of the data make it difficult to extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0614d77ae07f2836a158135d6d212ddb
https://doi.org/10.1007/978-3-319-64367-0_30
https://doi.org/10.1007/978-3-319-64367-0_30
Autor:
Tim Oates, Edward T. Nykaza, Bryan Wilkinson, Charlotte L. Ellison, Matthew G. Blevins, Arnold P. Boedihardjo, Anton Netchaev, Zhiguang Wang, Steven L. Bunkley
Publikováno v:
The Journal of the Acoustical Society of America. 141:3964-3964
With the advent of reliable and continuously operating noise monitoring systems, we are now faced with an unprecedented amount of noise monitor data. In the context of environmental noise monitoring, there is a need to automatically detect, separate,