Real-time fault-tolerant mHealth system: Comprehensive review of healthcare services, opens issues, challenges and methodological aspects

AS Albahri, AA Zaidan, OS Albahri, BB Zaidan… - Journal of medical …, 2018 - Springer
The burden on healthcare services in the world has increased substantially in the past
decades. The quality and quantity of care have to increase to meet surging demands …

A neural network approach to jointly modeling social networks and mobile trajectories

C Yang, M Sun, WX Zhao, Z Liu… - ACM Transactions on …, 2017 - dl.acm.org
Two characteristics of location-based services are mobile trajectories and the ability to
facilitate social networking. The recording of trajectory data contributes valuable resources …

Fault-tolerant mHealth framework in the context of IoT-based real-time wearable health data sensors

OS Albahri, AS Albahri, AA Zaidan, BB Zaidan… - IEEE …, 2019 - ieeexplore.ieee.org
The emerging technology breakthrough of the Internet of Things (IoT) is expected to offer
promising solutions for indoor/outdoor healthcare, which may contribute significantly to …

Semantic-based location recommendation with multimodal venue semantics

X Wang, YL Zhao, L Nie, Y Gao, W Nie… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
In recent years, we have witnessed a flourishing of location-based social networks. A well-
formed representation of location knowledge is desired to cater to the need of location …

The purpose of motion: Learning activities from individual mobility networks

S Rinzivillo, L Gabrielli, M Nanni… - … conference on data …, 2014 - ieeexplore.ieee.org
The large availability of mobility data allows us to investigate complex phenomena about
human movement. However this adundance of data comes with few information about the …

Mining user similarity based on routine activities

M Lv, L Chen, G Chen - Information Sciences, 2013 - Elsevier
Mobile user similarity is significant for location-based social network services. With the
pervasiveness of location-acquisition technologies, research on measuring mobile user …

STCCD: Semantic trajectory clustering based on community detection in networks

C Liu, C Guo - Expert Systems with Applications, 2020 - Elsevier
Most of traditional trajectory clustering algorithms often cluster similar trajectories from a
temporal or spatial perspective. One weak point is that the semantic relationship between …

Circle of friend query in geo-social networks

W Liu, W Sun, C Chen, Y Huang, Y Jing… - Database Systems for …, 2012 - Springer
Abstract Location-Based Services (LBSs) are becoming more social and Social Networks
(SNs) are increasingly including location components. Geo-Social Networks are bridging the …

Representation learning with multi-level attention for activity trajectory similarity computation

A Liu, Y Zhang, X Zhang, G Liu, Y Zhang… - … on Knowledge and …, 2020 - ieeexplore.ieee.org
Massive trajectory data stem from the prevalence of equipment-supporting GPS and
wireless communication technology. Especially, activity trajectory from Location-based …

Privacy-aware framework for matching online social identities in multiple social networking services

N Hoang Long, JJ Jung - Cybernetics and Systems, 2015 - Taylor & Francis
With various emerging Social Networking Services (SNS), it is possible for users to join
multiple SNS for social relationships with other users and to collect a large amount of …