Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Vaquet, Jonas"'
Autor:
Vaquet, Valerie, Hinder, Fabian, Artelt, André, Ashraf, Inaam, Strotherm, Janine, Vaquet, Jonas, Brinkrolf, Johannes, Hammer, Barbara
Research on methods for planning and controlling water distribution networks gains increasing relevance as the availability of drinking water will decrease as a consequence of climate change. So far, the majority of approaches is based on hydraulics
Externí odkaz:
http://arxiv.org/abs/2410.12461
Autor:
Vaquet, Valerie, Hinder, Fabian, Vaquet, Jonas, Lammers, Kathrin, Quakernack, Lars, Hammer, Barbara
Facing climate change, the already limited availability of drinking water will decrease in the future rendering drinking water an increasingly scarce resource. Considerable amounts of it are lost through leakages in water transportation and distribut
Externí odkaz:
http://arxiv.org/abs/2310.15830
Autor:
Vaquet, Valerie, Hinder, Fabian, Vaquet, Jonas, Brinkrolf, Johannes, Hammer, Barbara, ARRAY(0xb2dd968)
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Deep neural networks offer state-of-the-art technologies for highly nonlinear domains such as image processing; yet their initial training requires large amounts of data, such that they are not directly suited for online learning scenarios for stream
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47afd0516b8373cebef496606256dc38
https://doi.org/10.1109/ssci50451.2021.9659903
https://doi.org/10.1109/ssci50451.2021.9659903
