AUDIT: AnomaloUs data Detection and Isolation approach for mobile healThcare systems-Reference-Cited by-同舟云学术

AUDIT: AnomaloUs data Detection and Isolation approach for mobile healThcare systems

Published:2019-03-04 Issue:1 Volume:37 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Ben Amor Lamia¹²^ORCID,Lahyani Imene¹³,Jmaiel Mohamed¹²

Affiliation:

1. ReDCAD LaboratoryUniversity of Sfax, National School of Engineers of Sfax B.P. 1173, 3038 Sfax Tunisia

2. Digital Research Center of Sfax B.P. 275, Sakiet Ezzit, 3021 Sfax Tunisia

3. LAAS‐CNRSUniversity of Toulouse 7 avenue Colonel Roche, 31077 Toulouse France

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12390

Reference32 articles.

1. Aderibigbe T. &Chi H.(2017).A quick outlier detection in wireless body area networks. InProceedings of the Practice and Experience in Advanced Research Computing ACM New York NY USA pp.54:1–54:3.

2. Sensor Anomaly Detection in Wireless Sensor Networks for Healthcare

3. Ben Amor L. Lahyani I. &Jmaiel M.(2017).PCA‐based multivariate anomaly detection in mobile healthcare applications. In21st IEEE/ACM International Symposium on Distributed Simulation Rome Italy pp.172–179.

4. Ben Amor L. Lahyani I. &Jmaiel M.(2018a).Anomaly detection and diagnosis scheme for mobile health applications. In32nd IEEE International Conference on Advanced Information Networking and Applications Krakow Poland pp.777–784.

5. Data accuracy aware mobile healthcare applications

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