Machine learning models in urban transport applications: understanding and actuation
The prosperity of big data has boosted the development of AI techniques in smart city. In this thesis, we study the adaptation of newly-emerging machine learning techniques to urban transport applications. We review existing tasks and techniques in both urban transport understanding and urban transp...
Saved in:
Main Author: | Li, Mingqian |
---|---|
Other Authors: | Mo Li |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/171580 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Deep machine learning based scene understanding
by: Wo, Benjamin Shun Xian
Published: (2022) -
Application of machine learning for stock index forecast
by: Khoo, Edwin Ding Neng
Published: (2020) -
Application of machine learning in stock index forecast
by: Kong, Jie Wei
Published: (2021) -
Fintech related machine learning : credit risk analysis using machine learning models
by: Ng, Zaphyr Wee Hau
Published: (2021) -
Advanced image understanding with deep learning in real-world applications
by: Shi, Yuxin
Published: (2020)