Big trajectory data mining: A survey of methods, applications, and services
The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …
helped increase the availability of trajectory data with rich spatiotemporal information. The …
[PDF][PDF] HST-LSTM: A hierarchical spatial-temporal long-short term memory network for location prediction.
The widely use of positioning technology has made mining the movements of people
feasible and plenty of trajectory data have been accumulated. How to efficiently leverage …
feasible and plenty of trajectory data have been accumulated. How to efficiently leverage …
An efficient LSTM neural network-based framework for vessel location forecasting
Forecasting vessel locations is of major importance in the maritime domain, with
applications in safety, logistics, etc. Nowadays, vessel tracking has become possible largely …
applications in safety, logistics, etc. Nowadays, vessel tracking has become possible largely …
NexT: A framework for next-place prediction on location based social networks
C Comito - Knowledge-Based Systems, 2020 - Elsevier
The extensive use of location-based social networks (LBSNs) allows for the collection of
huge amount of geo-tagged data about people activities and costumes within urban context …
huge amount of geo-tagged data about people activities and costumes within urban context …
A personalised travel recommender system utilising social network profile and accurate GPS data
R Logesh, V Subramaniyaswamy… - Electronic …, 2018 - inderscienceonline.com
Recent developments in internet technologies have created a massive demand for online
services with the rapidly growing users. Travel recommender systems have been embraced …
services with the rapidly growing users. Travel recommender systems have been embraced …
Data science: a game changer for science and innovation
This paper shows data science's potential for disruptive innovation in science, industry,
policy, and people's lives. We present how data science impacts science and society at …
policy, and people's lives. We present how data science impacts science and society at …
A Markov chain position prediction model based on multidimensional correction
S Chen, J Zhang, F Meng, D Wang - Complexity, 2021 - Wiley Online Library
User location prediction in location‐based social networks can predict the density of people
flow well in terms of intelligent transportation, which can make corresponding adjustments in …
flow well in terms of intelligent transportation, which can make corresponding adjustments in …
Design of wearable EEG devices specialized for passive brain–computer interface applications
Owing to the increased public interest in passive brain–computer interface (pBCI)
applications, many wearable devices for capturing electroencephalogram (EEG) signals in …
applications, many wearable devices for capturing electroencephalogram (EEG) signals in …
CEM: A convolutional embedding model for predicting next locations
The widespread use of positioning devices and cameras has given rise to a deluge of
trajectory data (eg, vehicle passage records and check-in data), offering great opportunities …
trajectory data (eg, vehicle passage records and check-in data), offering great opportunities …
Embedding traffic network characteristics using tensor for improved traffic prediction
M Bhanu, J Mendes-Moreira… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Techniques for using multi-way traffic patterns for traffic prediction is gaining importance.
One of the possible techniques for representing the multi-way traffic patterns is tensors …
One of the possible techniques for representing the multi-way traffic patterns is tensors …