Data-driven prediction and impact analysis for smart city applications
Predictive analysis of discrete events in continuous time, such as incidents in public systems like the rail transit systems, and dwellers' activities of taxi ridings, clinical visits, etc., are critical to improving public services and life quality in smart cities. In this thesis, we develop t...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/159246 |