Extracting global shipping networks from massive historical automatic identification system sensor data: a bottom-up approach
Z Wang, C Claramunt, Y Wang - Sensors, 2019 - mdpi.com
The increasing availability of big Automatic Identification Systems (AIS) sensor data offers
great opportunities to track ship activities and mine spatial-temporal patterns of ship traffic …
great opportunities to track ship activities and mine spatial-temporal patterns of ship traffic …
Identifying indoor points of interest via mobile crowdsensing: An experimental study
This paper presents a mobile crowdsensing approach to identify the indoor points of interest
(POI) by exploiting Wi-Fi similarity measurements. Since indoor environments are lacking …
(POI) by exploiting Wi-Fi similarity measurements. Since indoor environments are lacking …
Nonnegative coupled matrix tensor factorization for smart city spatiotemporal pattern mining
With the advancements in smartphones and inbuilt sensors, the day-to-day spatiotemporal
activities of people can be recorded. With this available information, the automated …
activities of people can be recorded. With this available information, the automated …
Sparsity constraint nonnegative tensor factorization for mobility pattern mining
Despite the capability of modeling multi-dimensional (such as spatio-temporal) data, tensor
modeling and factorization methods such as Nonnegative Tensor Factorization (NTF) is in …
modeling and factorization methods such as Nonnegative Tensor Factorization (NTF) is in …