LEARNING HUMAN MOBILITY WITH DEEP SPATIO-TEMPORAL NEURAL NETWORKS

Ph.D

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Bibliographic Details
Main Author: LIANG YUXUAN
Other Authors: COMPUTER SCIENCE
Format: Theses and Dissertations
Language:English
Published: 2023
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/237695
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Institution: National University of Singapore
Language: English
id sg-nus-scholar.10635-237695
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spelling sg-nus-scholar.10635-2376952023-02-28T18:01:31Z LEARNING HUMAN MOBILITY WITH DEEP SPATIO-TEMPORAL NEURAL NETWORKS LIANG YUXUAN COMPUTER SCIENCE Roger Zimmermann Mobility, deep learning, spatio-temporal data mining, urban computing, trajectory, time series, Ph.D DOCTOR OF PHILOSOPHY (SOC) 2023-02-28T18:01:31Z 2023-02-28T18:01:31Z 2022-10-03 Thesis LIANG YUXUAN (2022-10-03). LEARNING HUMAN MOBILITY WITH DEEP SPATIO-TEMPORAL NEURAL NETWORKS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/237695 0000-0003-2817-7337 en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Mobility, deep learning, spatio-temporal data mining, urban computing, trajectory, time series,
spellingShingle Mobility, deep learning, spatio-temporal data mining, urban computing, trajectory, time series,
LIANG YUXUAN
LEARNING HUMAN MOBILITY WITH DEEP SPATIO-TEMPORAL NEURAL NETWORKS
description Ph.D
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
LIANG YUXUAN
format Theses and Dissertations
author LIANG YUXUAN
author_sort LIANG YUXUAN
title LEARNING HUMAN MOBILITY WITH DEEP SPATIO-TEMPORAL NEURAL NETWORKS
title_short LEARNING HUMAN MOBILITY WITH DEEP SPATIO-TEMPORAL NEURAL NETWORKS
title_full LEARNING HUMAN MOBILITY WITH DEEP SPATIO-TEMPORAL NEURAL NETWORKS
title_fullStr LEARNING HUMAN MOBILITY WITH DEEP SPATIO-TEMPORAL NEURAL NETWORKS
title_full_unstemmed LEARNING HUMAN MOBILITY WITH DEEP SPATIO-TEMPORAL NEURAL NETWORKS
title_sort learning human mobility with deep spatio-temporal neural networks
publishDate 2023
url https://scholarbank.nus.edu.sg/handle/10635/237695
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