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pro vyhledávání: '"RODRIGUES, BRUNO"'
This research introduces a Machine Learning-centric approach to replicate olfactory experiences, validated through experimental quantification of perfume perception. Key contributions encompass a hybrid model connecting perfume molecular structure to
Externí odkaz:
http://arxiv.org/abs/2402.12134
In this paper we describe the Lie-theoretic structure of ${\rm SO}(1,4)$ and consider control systems given by certain vector fields of ${\rm SO}(1,4)$. Then we explicitly describe its invariant control sets in the unique ${\rm SO}(1,4)$-flag manifol
Externí odkaz:
http://arxiv.org/abs/2309.03737
The exponential growth in the digitisation of services implies the handling and storage of large volumes of data. Businesses and services see data sharing and crossing as an opportunity to improve and produce new business opportunities. The health se
Externí odkaz:
http://arxiv.org/abs/2307.01175
Autor:
Rodrigues, Bruno, Scheid, Eder J., Müller, Katharina O. E., Willems, Julius, Stiller, Burkhard
Hospital infrastructures are always in evidence in periods of crisis, such as natural disasters or pandemic events, under stress. The recent COVID-19 pandemic exposed several inefficiencies in hospital systems over a relatively long period. Among the
Externí odkaz:
http://arxiv.org/abs/2303.01151