8 citations · 9 across the 6 of their papers we have counts for
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cs.LG2023
A Slow-Shifting Concerned Machine Learning Method for Short-term Traffic Flow Forecasting
Zann Koh, Yan Qin, Yong Liang Guan +1
The ability to predict traffic flow over time for crowded areas during rush hours is increasingly important as it can help authorities make informed decisions for congestion mitiga…
cs.LG2022
Clustering and Analysis of GPS Trajectory Data using Distance-based Features
Zann Koh, Yuren Zhou, Billy Pik Lik Lau +3
The proliferation of smartphones has accelerated mobility studies by largely increasing the type and volume of mobility data available. One such source of mobility data is from GPS…
cs.LG2020★ 8 cited
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data
Zann Koh, Yuren Zhou, Billy Pik Lik Lau +3
Information about the spatiotemporal flow of humans within an urban context has a wide plethora of applications. Currently, although there are many different approaches to collect…