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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Bibliographic Details
Main Author: Mo, Xiaoyun
Other Authors: Mo Li
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/159246
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Institution: Nanyang Technological University
Language: English