B Jiang, J Li, G Yue, H Song - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The development of Internet of Things (IoT) brings new changes to various fields. Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …
Directional distribution analysis has long served as a fundamental functionality in abstracting dispersion and orientation of spatial datasets. Spatial datasets that describe …
T Wang, X Zhang, J Feng, X Yang - Sensors, 2020 - mdpi.com
Collecting and analyzing massive data generated from smart devices have become increasingly pervasive in crowdsensing, which are the building blocks for data-driven …
The widespread use of mobile devices such as smartphones, tablets, and smartwatches has led users to constantly generate various location data during their daily activities …
L Wu, C Qin, Z Xu, Y Guan, R Lu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The prevalence of mobile Internet, smart terminal devices, and GPS positioning technology has generated a vast number of trajectory data that location-based applications can utilize …
Privacy preserving in machine learning is a crucial issue in industry informatics since data used for training in industries usually contain sensitive information. Existing differentially …
H Shen, J Li, G Wu, M Zhang - Information Processing & Management, 2023 - Elsevier
Traditional correlated differential privacy technology usually introduces too much noise, reducing data availability. Besides, machine learning often confronts training sets of high …
New generation head-mounted displays, such as VR and AR glasses, are coming into the market with already integrated eye tracking and are expected to enable novel ways of …
C Gao, C Huang, D Lin, D Jin, Y Li - … of the 43rd International ACM SIGIR …, 2020 - dl.acm.org
Most existing recommender systems leverage users' complete original behavioral logs, which are collected from mobile devices and stored by the service provider and further fed …