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A decentralised approach to privacy preserving trajectory mining
Large volumes of mobility data is collected in various application domains. Enterprise
applications are designed on the notion of centralised data control where the proprietary of …
applications are designed on the notion of centralised data control where the proprietary of …
Enhancing pedestrian group detection and tracking through zone-based clustering
Advancements in self-driving car technology have the potential to revolutionize
transportation by enhancing safety, efficiency, and accessibility. Nonetheless, the successful …
transportation by enhancing safety, efficiency, and accessibility. Nonetheless, the successful …
Epidemic spreading in trajectory networks
Epidemics of infectious diseases, such as the one caused by the rapid spread of the
coronavirus disease 2019 (COVID-19), have tested the world's more advanced health …
coronavirus disease 2019 (COVID-19), have tested the world's more advanced health …
Microscopic modeling of spatiotemporal epidemic dynamics
Conventional techniques of epidemic modeling are based on compartmental models, where
population groups are transitioning from one compartment to another-for example, S, I, or …
population groups are transitioning from one compartment to another-for example, S, I, or …
Projected augmentation-augmented reality using rotatable video projectors
In this paper, we propose a new way of augmenting our environment with information
without making the user carry any devices. We propose the use of video projection to display …
without making the user carry any devices. We propose the use of video projection to display …
A mobility-based recommendation system for mitigating the risk of infection during epidemics
The relationship between human mobility and the spread of an infectious disease has been
well documented. At the same time, availability of mobility data is growing due to …
well documented. At the same time, availability of mobility data is growing due to …
Trajectory-User Linking using Higher-order Mobility Flow Representations
Trajectory user linking (TUL) is a problem in trajectory classification that links anonymous
trajectories to the users who generated them. TUL has various uses such as identity …
trajectories to the users who generated them. TUL has various uses such as identity …
PathletRL: Trajectory Pathlet Dictionary Construction using Reinforcement Learning
Sophisticated location and tracking technologies have led to the generation of vast amounts
of trajectory data. Of interest is constructing a small set of basic building blocks that can …
of trajectory data. Of interest is constructing a small set of basic building blocks that can …
Evaluating and forecasting the operational performance of road intersections
Road intersections represent one of the most complex configurations encountered when
traversing road networks. It is therefore of vital importance to improve their operational …
traversing road networks. It is therefore of vital importance to improve their operational …
Fast and accurate mining of node importance in trajectory networks
Mining large-scale trajectory data streams (of moving objects) has attracted significant
attention due to an abundance of modern tracking devices and a number of real-world …
attention due to an abundance of modern tracking devices and a number of real-world …