Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Costa, Miguel Ângelo Peixoto"'
This paper analyzes an iterative kernel partitioning clustering algorithm that dynamically merges, removes and adds clusters using some characteristics, like the radii and diameters of the clusters, and distance between centers. The clustering is car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::58b79f3e2931363087df9053ef4ae3e7
https://hdl.handle.net/1822/85212
https://hdl.handle.net/1822/85212
The end of Moore’s Law aligned with data privacy concerns is forcing machine learning (ML) to shift from the cloud to the deep edge. In the next-generation ML systems, the inference and part of the training process will perform at the edge, while t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::be45489c43ec749adc1841b2271af914
https://hdl.handle.net/1822/79831
https://hdl.handle.net/1822/79831
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Dissertação de mestrado integrado em Industrial Electronics and Computers Engineering
Despite the massive technological evolution experienced by the automotive industry over the past decades, driver safety is still an area of big concern. The
Despite the massive technological evolution experienced by the automotive industry over the past decades, driver safety is still an area of big concern. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ea7f38eae00cb472d86586062872f5a4
https://hdl.handle.net/1822/60477
https://hdl.handle.net/1822/60477