A multidimensional behavioral analysis of telecommunication mobility records reveals that unique behavioral signatures expose individual identities even when raw location ...
A study of smartphone GPS mobility records across ten major US cities revealed that data production disparities are widespread and ...
A new network-based model shows that adaptive human mobility suppresses diffusion-driven instability and promotes persistent localized Mpox hotspots.
A machine-learning framework analyzing cellular mobility networks accurately predicts city-level carbon dioxide emissions in near real time across four countries.
A national fixed-effects study of 328 local authorities finds pandemic mobility changes were linked to police-recorded crime in England and ...
An explainable machine learning study of 47 districts in Maharashtra and Kerala found LSTM models forecast one-day-ahead COVID-19 cases best, ...
A new analysis of over five million Amazonian malaria cases shows that human mobility, especially linked to mining and indigenous ...
A new discrete choice model called WorkReach shows that workers consistently commute farther for economically sophisticated jobs while revealing accessibility ...
Researchers have developed MultiPerG, a hierarchical convolutional network that learns multi-scale periodic and geographic patterns in human trajectories to predict ...
Strontium isotope analysis of 199 Bronze Age skeletons from central and southern Greece shows that five to ten percent of ...
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