Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Goos, Jan"'
Time-series anomaly detection plays an important role in engineering processes, like development, manufacturing and other operations involving dynamic systems. These processes can greatly benefit from advances in the field, as state-of-the-art approa
Externí odkaz:
http://arxiv.org/abs/2408.03747
As attention to recorded data grows in the realm of automotive testing and manual evaluation reaches its limits, there is a growing need for automatic online anomaly detection. This real-world data is complex in many ways and requires the modelling o
Externí odkaz:
http://arxiv.org/abs/2407.06849
A clear need for automatic anomaly detection applied to automotive testing has emerged as more and more attention is paid to the data recorded and manual evaluation by humans reaches its capacity. Such real-world data is massive, diverse, multivariat
Externí odkaz:
http://arxiv.org/abs/2309.02253
Publikováno v:
In Procedia CIRP 2021 97:87-91
Autor:
De Ginste, Lauren Van, Goos, Jan, Schamp, Matthias, Claeys, Arno, Hoedt, Steven, Bauters, Karel, Biondi, Alessandro, Aghezzaf, El-Houssaine, Cottyn, Johannes
Publikováno v:
In Procedia Manufacturing 2019 39:974-982
Automatic Evaluation and Optimization of Generic Hybrid Vehicle Topologies using Dynamic Programming
Publikováno v:
In IFAC PapersOnLine July 2017 50(1):10065-10071
Publikováno v:
Automotive and Engine Technology; 20240101, Issue: Preprints p1-12, 12p
Publikováno v:
In Automatica January 2017 75:191-199