Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference
This study examines the potential of using smart card data in public transit systems to infer
attributes of travelers, thereby facilitating a more user-centered public transport service …
attributes of travelers, thereby facilitating a more user-centered public transport service …
[책][B] Unsupervised Multivariate Time Series Anomaly Detection via Transformer-based models and Time Series Encoding
T Duan - 2021 - search.proquest.com
This thesis has investigated the anomaly detection problem on multivariate time series. In
particular, we have studied two different directions: the point-based approach and the range …
particular, we have studied two different directions: the point-based approach and the range …
Deep Spatial-Temporal Learning in the Correlated Time Series
L Bai - 2021 - unsworks.unsw.edu.au
The fast evolution of mobile internet and remote sensing technologies has facilitated the
generation and collection of numerous time-series data from the real-world systems, which …
generation and collection of numerous time-series data from the real-world systems, which …