The Internet of People (IoP): A new wave in pervasive mobile computing
Cyber–Physical convergence, the fast expansion of the Internet at its edge, and tighter
interactions between human users and their personal mobile devices push towardan …
interactions between human users and their personal mobile devices push towardan …
Estimating pedestrian densities, wait times, and flows with wi-fi and bluetooth sensors
Monitoring nonmotorized traffic is gaining more attention in the context of transportation
studies. Most of the traditional pedestrian monitoring technologies focus on counting …
studies. Most of the traditional pedestrian monitoring technologies focus on counting …
Internet of mobile things: Mobility-driven challenges, designs and implementations
Smart environments such as smart grid, smart transportation, smart buildings are upon us
because of major advances in sensor, communication, cloud and other cyber-physical …
because of major advances in sensor, communication, cloud and other cyber-physical …
STF-RNN: Space time features-based recurrent neural network for predicting people next location
This paper proposes a novel model called Space Time Features-based Recurrent Neural
Network (STF-RNN) for predicting people next movement based on mobility patterns …
Network (STF-RNN) for predicting people next movement based on mobility patterns …
The Internet of People: A human and data-centric paradigm for the Next Generation Internet
The cyber-physical convergence, the fast expansion of the Internet at its edge, and tighter
interactions between human users and their personal mobile devices push towards a data …
interactions between human users and their personal mobile devices push towards a data …
Move, attend and predict: An attention-based neural model for people's movement prediction
Predicting people's next location has attracted the attention of both scientists and large
Internet companies, for a variety of reasons. The analysis of location data collected from …
Internet companies, for a variety of reasons. The analysis of location data collected from …
A hybrid Markov and LSTM model for indoor location prediction
Accurate and robust indoor location prediction plays an important role in indoor location
services. Markov chains (MCs) have been widely adopted for location prediction due to their …
services. Markov chains (MCs) have been widely adopted for location prediction due to their …
Process state synchronization-based application execution management for mobile edge/cloud computing
Mobile cloud computing (MCC) and mobile edge computing (MEC) facilitate the mobile
devices to augment their capabilities by utilizing the resources and services offered by …
devices to augment their capabilities by utilizing the resources and services offered by …
Geo-social distance-based data dissemination for socially aware networking
The Internet of Things (IoT), which could connect everything in the world, is promising for the
realization of smart cities. However, vehicles connected in the IoT challenges data collection …
realization of smart cities. However, vehicles connected in the IoT challenges data collection …
MobileCogniTracker: A mobile experience sampling tool for tracking cognitive behaviour
As the population ages, cognitive decline is becoming a worldwide threat to older adults'
independence and quality of life. Cognitive decline involves problems with memory …
independence and quality of life. Cognitive decline involves problems with memory …