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pro vyhledávání: '"François-Xavier Aubet"'
We introduce Neural Contextual Anomaly Detection (NCAD), a framework for anomaly detection on time series that scales seamlessly from the unsupervised to supervised setting, and is applicable to both univariate and multivariate time series. This is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed5500814fcd8900e826e821a066558b
Autor:
Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle Maddix, Caner Turkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, François-Xavier Aubet, Laurent Callot, Tim Januschowski
Deep learning based forecasting methods have become the methods of choice in many applications of time series prediction or forecasting often outperforming other approaches. Consequently, over the last years, these methods are now ubiquitous in large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbea5fcc415c5005b0c8885a21c70308
http://arxiv.org/abs/2004.10240
http://arxiv.org/abs/2004.10240
Publikováno v:
Wireless Days
IEEE 802.11p based V2X communication uses stochastic medium access control, which cannot prevent broadcast packet collision, in particular during high channel load. Wireless congestion control has been designed to keep the channel load at an optimal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bc6d4b529529ec6e9c2f0c47993bba8
https://doi.org/10.1109/wd.2019.8734252
https://doi.org/10.1109/wd.2019.8734252
Publikováno v:
NOMS
The Internet of Things (IoT) can be considered as Service Oriented Architecture (SOA) of Microservices ($$S). The μSs inherently process data that affects the privacy, safety, and security of its users. IoT service security is a key challenge. Most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a95d1752127f9b86873c68599249bada