How to mitigate DDoS intelligently in SD-IoV: A moving target defense approach
Software defined Internet of Vehicles (SD-IoV) is an emerging paradigm for accomplishing
Industrial Internet of Things (IIoT). Unfortunately, SD-IoV still faces security challenges …
Industrial Internet of Things (IIoT). Unfortunately, SD-IoV still faces security challenges …
Practical synthetic human trajectories generation based on variational point processes
Human trajectories, reflecting people's travel patterns and the range of activities, are crucial
for the applications like urban planning and epidemic control. However, the real-world …
for the applications like urban planning and epidemic control. However, the real-world …
Quantifying the spatial homogeneity of urban road networks via graph neural networks
Quantifying the topological similarities of different parts of urban road networks enables us to
understand urban growth patterns. Although conventional statistics provide useful …
understand urban growth patterns. Although conventional statistics provide useful …
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards
Route choice modeling is a fundamental task in transportation planning and demand
forecasting. Classical methods generally adopt the discrete choice model (DCM) framework …
forecasting. Classical methods generally adopt the discrete choice model (DCM) framework …
GODDAG: generating origin-destination flow for new cities via domain adversarial training
Origin-destination (OD) flow data, which reflects population mobility patterns in the city, is
very important in many urban applications, such as urban planning and public resource …
very important in many urban applications, such as urban planning and public resource …
Cola: Cross-city mobility transformer for human trajectory simulation
Human trajectory data produced by daily mobile devices has proven its usefulness in
various substantial fields such as urban planning and epidemic prevention. In terms of the …
various substantial fields such as urban planning and epidemic prevention. In terms of the …
Doing more with less: Overcoming data scarcity for POI recommendation via cross-region transfer
V Gupta, S Bedathur - ACM Transactions on Intelligent Systems and …, 2022 - dl.acm.org
Variability in social app usage across regions results in a high skew of the quantity and the
quality of check-in data collected, which in turn is a challenge for effective location …
quality of check-in data collected, which in turn is a challenge for effective location …
[HTML][HTML] Mobility trajectory generation: a survey
Mobility trajectory data is of great significance for mobility pattern study, urban computing,
and city science. Self-driving, traffic prediction, environment estimation, and many other …
and city science. Self-driving, traffic prediction, environment estimation, and many other …
Survey of federated learning models for spatial-temporal mobility applications
Federated learning involves training statistical models over edge devices such as mobile
phones such that the training data is kept local. Federated Learning (FL) can serve as an …
phones such that the training data is kept local. Federated Learning (FL) can serve as an …
Transfer urban human mobility via poi embedding over multiple cities
Rapidly developing location acquisition technologies provide a powerful tool for
understanding and predicting human mobility in cities, which is very significant for urban …
understanding and predicting human mobility in cities, which is very significant for urban …