Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Michael T. Chan"'
Autor:
Ruben Ulloa, Benjamin Tam, Francis Reyes Orozco, Carlos X. Castellanos, Michael T. Chang, Kevin Hur
Publikováno v:
OTO Open, Vol 7, Iss 4, Pp n/a-n/a (2023)
Abstract Objective To characterize the users of the largest chronic rhinosinusitis (CRS) online support communities (OSCs), describe the perceived benefits of OSCs for their users, and understand how patient medical decision making is affected by mem
Externí odkaz:
https://doaj.org/article/9ee924eb22fa40269817a948d4ae4fc1
Autor:
Steven E. Koch, S. Albers, Michael T. Chan, Marilyn M. Wolfson, Paul E. Bieringer, J. McGinley, Yuanfu Xie
Publikováno v:
Monthly Weather Review. 139:1224-1240
As new observation systems are developed and deployed, new and presumably more precise information is becoming available for weather forecasting and climate monitoring. To take advantage of these new observations, it is desirable to have schemes to a
Intelligence Surveillance and Reconnaissance (lSR) systems have the potential to operate in a net-centric environment in which tasking control, resulting sensor data, and intelligence feeds can be made available via web services under a service orien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa6fae14ca48e10c2943b1aaf77dd470
https://doi.org/10.21236/ada570527
https://doi.org/10.21236/ada570527
Publikováno v:
2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.
Intelligence Surveillance and Reconnaissance (ISR) systems have the potential to operate in a net-centric environment in which tasking control, collected sensor data, and intelligence feeds can be made available via web services under a service orien
Autor:
Michael T. Chan
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
Discrete Tomography ISBN: 9781461271963
We present a methodology for constructing probabilistic models of discrete images using Gibbs distributions. The method differs from previous approaches in that the formulation is suited for the modeling of discrete images, and hence readily applicab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54c33348acc3b6aafd4cd9db8cd0c647
https://doi.org/10.1007/978-1-4612-1568-4_9
https://doi.org/10.1007/978-1-4612-1568-4_9
Conference
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Conference
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