Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Steffen Gracla"'
The quality of data driven learning algorithms scales significantly with the quality of data available. One of the most straight-forward ways to generate good data is to sample or explore the data source intelligently. Smart sampling can reduce the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431242a00503795f75a3c2730010d22a
http://arxiv.org/abs/2304.10860
http://arxiv.org/abs/2304.10860
Questions remain on the robustness of data-driven learning methods when crossing the gap from simulation to reality. We utilize weight anchoring, a method known from continual learning, to cultivate and fixate desired behavior in Neural Networks. Wei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aa73a5b8b9e1e987741f3a574e7804d
http://arxiv.org/abs/2304.10176
http://arxiv.org/abs/2304.10176
Advances in mobile communication capabilities open the door for closer integration of pre-hospital and in-hospital care processes. For example, medical specialists can be enabled to guide on-site paramedics and can, in turn, be supplied with live vit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4f87397a2d9f5a36ce88d381352951a
http://arxiv.org/abs/2304.09488
http://arxiv.org/abs/2304.09488
Publikováno v:
2022 IEEE Wireless Communications and Networking Conference (WCNC).
Greater capabilities of mobile communications technology enable interconnection of on-site medical care at a scale previously unavailable. However, embedding such critical, demanding tasks into the already complex infrastructure of mobile communicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d186681b74ed91dbeae3b29b28ee97c
https://doi.org/10.1109/wcnc51071.2022.9771679
https://doi.org/10.1109/wcnc51071.2022.9771679
