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- 2024
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Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
(
- Master (Two yrs)
- 2023
-
Mark
Road traffic noise simulations based on 3D city models
(
- Master (Two yrs)
-
Mark
Automatic icon placement approach for improved association & walkability on city wayfinding maps
(
- Master (Two yrs)
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Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
(
- Master (Two yrs)
-
Mark
Estimation of surface soil moisture from Sentinel-1 Synthetic Aperture Radar imagery using machine learning method
(
- Master (Two yrs)