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Habit2vec: Trajectory semantic embedding for living pattern recognition in population
Recognizing representative living patterns in population is extremely valuable for urban
planning and decision making. Thanks to the growing popularity of location-based …
planning and decision making. Thanks to the growing popularity of location-based …
Understanding client support strategies to improve clinical outcomes in an online mental health intervention
Online mental health interventions are increasingly important in providing access to, and
supporting the effectiveness of, mental health treatment. While these technologies are …
supporting the effectiveness of, mental health treatment. While these technologies are …
Federated learning based driver recommendation for next generation transportation system
Driving behavior analysis benefits the transportation system in terms of road safety,
maintenance costs, vehicle's off-road time, fuel consumption, and enhanced driving …
maintenance costs, vehicle's off-road time, fuel consumption, and enhanced driving …
Predicting mid-air interaction movements and fatigue using deep reinforcement learning
A common problem of mid-air interaction is excessive arm fatigue, known as the" Gorilla
arm" effect. To predict and prevent such problems at a low cost, we investigate user testing …
arm" effect. To predict and prevent such problems at a low cost, we investigate user testing …
LLMSense: Harnessing LLMs for high-level reasoning over spatiotemporal sensor traces
Most studies on machine learning in sensing systems focus on low-level perception tasks
that process raw sensory data within a short time window. However, many practical …
that process raw sensory data within a short time window. However, many practical …