Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Orestes G. Manzanilla-Salazar"'
Publikováno v:
IEEE Access, Vol 11, Pp 91234-91246 (2023)
This paper presents a privacy-preserving proof of concept for assessing human behavior in emergency scenarios using aggregated data from multiple WiFi access points. The proposed method focuses on preserving individual privacy by avoiding tracking an
Externí odkaz:
https://doaj.org/article/d4d4f7b9a77d48418a40ed5f51a6030d
Autor:
Orestes G. Manzanilla-Salazar, Filippo Malandra, Hakim Mellah, Constant Wette, Brunilde Sanso
Publikováno v:
IEEE Access, Vol 8, Pp 61213-61225 (2020)
The smooth operation of largely deployed Internet of Things (IoT) applications will depend on, among other things, effective infrastructure failure detection. Access failures in wireless network Base Stations (BSs) produce a phenomenon called “slee
Externí odkaz:
https://doaj.org/article/28f7a95cfb4b4cb2aa3acc2ea0244968
Publikováno v:
Machine Learning & Data Mining in Pattern Recognition: 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014. Proceedings; 2014, p1-1, 1p
Autor:
Petra Perner
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully review
