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Bat-hen Nahmias-Biran, Shuki Cohen, Vladimir Simon and Israel Feldman
Mobile phones have achieved a high rate of penetration and gained great interest in the field of travel behavior studies. However, mobile phone data exploitation for national travel models has only been sporadically studied thus far. This work focuses on...
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Cláudia Rodrigues, Marco Veloso, Ana Alves and Carlos Bento
The COVID-19 pandemic affected many aspects of human mobility and resulted in unprecedented changes in population dynamics, including lifestyle and mobility. Recognizing the effects of the pandemic is crucial to understand changes and mitigate negative i...
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Maxime Lenormand and Horacio Samaniego
The relationship between urban mobility, social networks, and socioeconomic status is complex and difficult to apprehend, notably due to the lack of data. Here we use mobile phone data to analyze the socioeconomic structure of spatial and social interact...
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Jielu Zhang, Lan Mu, Donglan Zhang, Janani Rajbhandari-Thapa, Zhuo Chen, José A. Pagán, Yan Li, Heejung Son and Junxiu Liu
With over 350,000 cases occurring each year, out-of-hospital cardiac arrest (OHCA) remains a severe public health concern in the United States. The correct and timely use of automated external defibrillators (AEDs) has been widely acknowledged as an effe...
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Francisco Melo Pereira and Rute C. Sofia
This paper provides an analysis of two machine learning algorithms, density-based spatial clustering of applications with noise (DBSCAN) and the local outlier factor (LOF), applied in the detection of outliers in the context of a continuous framework for...
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