Results 41 to 50 of about 26,490 (295)
MathematicsTrajectory data are embedded within driving paths, GPS positioning systems, and mobile signaling information. A vast amount of trajectory data play a crucial role in the development of smart cities.
Yanjun Chen +3 more
doaj +1 more source
A federated pedestrian trajectory prediction model with data privacy protection
Complex & Intelligent Systems, 2023 Pedestrian trajectory prediction is essential for self-driving vehicles, social robots, and intelligent monitoring applications. Diverse trajectory data is critical for high-accuracy trajectory prediction.
Rongrong Ni +4 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective This study aims to describe the frequency and timing of physician referrals to physical therapists (PTs) and other treatments prescribed over 12 months in patients with recent onset of knee osteoarthritis (KOA). The study also aims to identify determinants of early PT referrals.
Samannaaz S. Khoja +4 more
wiley +1 more source
High Healthcare Utilization Preceding Diagnosis with Juvenile Idiopathic Arthritis
Arthritis Care &Research, Accepted Article.Objective Though early diagnosis improves long‐term outcomes, Juvenile Idiopathic Arthritis (JIA) patients often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize healthcare utilization in the year preceding diagnosis.
Anna Costello +5 more
wiley +1 more source
Lclean: A Plausible Approach to Individual Trajectory Data Sanitization
IEEE Access, 2018 In recent years, with the continuous development of significant data industrialization, trajectory data have more and more critical analytical value for urban construction and environmental monitoring.
Qilong Han +4 more
doaj +1 more source
SUDM-SP: A method for discovering trajectory similar users based on semantic privacy
High-Confidence Computing, 2023 With intelligent terminal devices’ widespread adoption and global positioning systems’ advancement, Location-based Social Networking Services (LbSNs) have gained considerable attention.
Weiqi Zhang, Guisheng Yin, Bingyi Xie
doaj +1 more source
Robust Fingerprint of Location Trajectories Under Differential Privacy
Proceedings on Privacy Enhancing Technologies. Privacy Enhancing Technologies Symposium, 2022 Directly releasing those data raises privacy and liability (e.g., due to unauthorized distribution of such datasets) concerns since location data contain users' sensitive information, e.g., regular moving patterns and favorite spots. To address this, we propose a novel fingerprinting scheme that simultaneously identifies unauthorized redistribution of ...
Jiang, Yuzhou +2 more
openaire +3 more sources
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
TrPLS: Preserving Privacy in Trajectory Data Publishing by Personalized Local Suppression
International Journal of Information and Communication Technology Research, 2014 Trajectory data are becoming more popular due to the rapid development of mobile devices and the widespread use of location-based services. They often provide useful information that can be used for data mining tasks.
Elahe Ghasemi Komishani, Mahdi Abadi
doaj
Privacy-Preserving Indoor Trajectory Matching with IoT Devices
Sensors, 2023 With the rapid development of the Internet of Things (IoT) technology, Wi-Fi signals have been widely used for trajectory signal acquisition. Indoor trajectory matching aims to achieve the monitoring of the encounters between people and trajectory analysis in indoor environments.
Bingxian Lu +3 more
openaire +3 more sources