Big trajectory data mining: A survey of methods, applications, and services

D Wang, T Miwa, T Morikawa - Sensors, 2020 - mdpi.com
The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …

Bayesian inference of network structure from unreliable data

JG Young, GT Cantwell… - Journal of Complex …, 2020 - academic.oup.com
Most empirical studies of complex networks do not return direct, error-free measurements of
network structure. Instead, they typically rely on indirect measurements that are often error …

Heterogeneous graph-based joint representation learning for users and POIs in location-based social network

Y Qiao, X Luo, C Li, H Tian, J Ma - Information Processing & Management, 2020 - Elsevier
Learning latent representations for users and points of interests (POIs) is an important task in
location-based social networks (LBSN), which could largely benefit multiple location-based …

Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data

W Wang, D Douglas, J Zhang, S Kumari… - Science …, 2020 - science.org
Recent advances in single-cell techniques catalyze an emerging field of studying how cells
convert from one phenotype to another, in a step-by-step process. Two grand technical …

Doing in one go: delivery time inference based on couriers' trajectories

S Ruan, Z Xiong, C Long, Y Chen, J Bao, T He… - Proceedings of the 26th …, 2020 - dl.acm.org
The rapid development of e-commerce requires efficient and reliable logistics services.
Nowadays, couriers are still the main solution to address the" last mile" problem in logistics …

A framework for assessing neuropsychiatric phenotypes by using smartphone-based location data

N Jongs, R Jagesar, NEM van Haren… - Translational …, 2020 - nature.com
The use of smartphone-based location data to quantify behavior longitudinally and passively
is rapidly gaining traction in neuropsychiatric research. However, a standardized and …

Design of wearable EEG devices specialized for passive brain–computer interface applications

S Park, CH Han, CH Im - Sensors, 2020 - mdpi.com
Owing to the increased public interest in passive brain–computer interface (pBCI)
applications, many wearable devices for capturing electroencephalogram (EEG) signals in …

OMCPR: Optimal mobility aware cache data pre-fetching and replacement policy using spatial K-anonymity for LBS

AK Gupta, U Shanker - Wireless Personal Communications, 2020 - Springer
Location-based services are an important category of context-aware computing, which play
an important role in providing the continuous, local and spatially confined information …

A literature review of location-aware computing policies: taxonomy and empirical analysis in mobile environment

AK Gupta, U Shanker - International Journal of Mobile Human …, 2020 - igi-global.com
Location-aware computing systems implementation has the challenge of maintaining its
consistency due to frequent disconnections in the mobile environment. Many other exciting …

Purchase intention-based agent for customer behaviours

A Doniec, S Lecoeuche, R Mandiau, A Sylvain - Information Sciences, 2020 - Elsevier
Simulating human activities remains a challenging problem because the decision-making
mechanisms underlying these activities are difficult to reproduce and mimic. In this article …