Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kusha Nezafati"'
Autor:
Qinneng Xu, Yulia R Gel, L Leticia Ramirez Ramirez, Kusha Nezafati, Qingpeng Zhang, Kwok-Leung Tsui
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0176690 (2017)
The objective of this study is to investigate predictive utility of online social media and web search queries, particularly, Google search data, to forecast new cases of influenza-like-illness (ILI) in general outpatient clinics (GOPC) in Hong Kong.
Externí odkaz:
https://doaj.org/article/f0d4bc16007d4bee80c182b12fc4d66c
Publikováno v:
Data-Enabled Discovery and Applications. 4
Predictive maintenance applications for a wide variety of industrial and commercial components are increasingly utilizing imaging-based sensors along with AI (artificial intelligence)/ML (machine learning) based analytics to determine wear of compone
Publikováno v:
IEEE BigData
Image processing and machine learning have become valuable tools for predictive maintenance applications for a wide variety of industrial and commercial components. We present a novel light transmission image processing methodology utilizing statisti
Publikováno v:
IEEE BigData
The proliferation of connected cars globally has the potential to produce torrents of Big Data that will enable improvements in driver safety, new location based services, improvements in vehicle quality, and optimized vehicle designs. One aspect of
Publikováno v:
ResearcherID
Complex networks are used to describe a broad range of disparate social systems and natural phenomena, from power grids to customer segmentation to human brain connectome. Challenges of parametric model specification and validation inspire a search f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24598c2ddc3dd16bb97ecd59eb51fe0c
http://arxiv.org/abs/1902.09029
http://arxiv.org/abs/1902.09029
Autor:
Qingpeng Zhang, L. Leticia Ramirez Ramirez, Yulia R. Gel, Qinneng Xu, Kwok-Leung Tsui, Kusha Nezafati
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0176690 (2017)
PLoS ONE
PLoS ONE
Background The objective of this study is to investigate predictive utility of online social media and web search queries, particularly, Google search data, to forecast new cases of influenza-like-illness (ILI) in general outpatient clinics (GOPC) in
Publikováno v:
BigData Congress
Online social media information is often used as a proxy for unavailable or partially observed data on networks of offline contacts. This, in turn, requires an understanding of how close the proxy online structure is to the "true" offline social netw