When things matter: A survey on data-centric internet of things
With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor
devices, and Web technologies, the Internet of Things (IoT) approach has gained …
devices, and Web technologies, the Internet of Things (IoT) approach has gained …
A survey on trajectory data mining: Techniques and applications
Rapid advance of location acquisition technologies boosts the generation of trajectory data,
which track the traces of moving objects. A trajectory is typically represented by a sequence …
which track the traces of moving objects. A trajectory is typically represented by a sequence …
A novel human activity recognition and prediction in smart home based on interaction
Smart Homes are generally considered the final solution for living problem, especially for the
health care of the elderly and disabled, power saving, etc. Human activity recognition in …
health care of the elderly and disabled, power saving, etc. Human activity recognition in …
IoT data quality
Data quality issues have been widely recognized in IoT data, and prevent the downstream
applications. In this tutorial, we review the state-of-the-art techniques for IoT data quality …
applications. In this tutorial, we review the state-of-the-art techniques for IoT data quality …
When things matter: A data-centric view of the internet of things
Y Qin, QZ Sheng, NJG Falkner, S Dustdar… - ar** mall via sequential similarity
P Wang, J Yang, J Zhang - Information, 2022 - mdpi.com
With the prevalence of smartphones and the maturation of indoor positioning techniques,
predicting the movement of a large number of customers in indoor environments has …
predicting the movement of a large number of customers in indoor environments has …