Zobrazeno 1 - 5
of 5
pro vyhledávání: '"David DeFazio"'
Publikováno v:
AAAI
Thoroughly understanding how energy consumption is disaggregated into individual appliances can help reduce household expenses, integrate renewable sources of energy, and lead to efficient use of energy. In this work, we propose a deep latent generat
Publikováno v:
AIES
In recent years, considerable progress has been made on improving the interpretability of machine learning models. This is essential, as complex deep learning models with millions of parameters produce state of the art results, but it can be nearly i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c7f2ffc0816ea935d2292a2b2566551
Autor:
Robert Boova, Yoshiya Toyoda, Farhan Nadeem, Christopher McAndrew, Kenji Minakata, Mohammed A. Kashem, David DeFazio
Publikováno v:
Structural Heart. 5:39
Publikováno v:
MobiQuitous
Cities have limited resources that must be used efficiently to maintain their smooth operation. To facilitate efficient resource allocation and management in cities, in this paper, we study one such important problem: how long does it take to resolve
Publikováno v:
Pervasive and Mobile Computing. 71:101317
Cities have limited resources that must be used efficiently to maintain their smooth operation. To facilitate efficient resource allocation and management in cities, in this paper, we study one such important problem: how long does it take to resolve