臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)

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Showing items 11-18 of 18 (1 Page(s) Totally)
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Institution	Date	Title	Author
臺大學術典藏	2013	Obstacles delaying the prompt deployment of piston-type mechanical cardiopulmonary resuscitation devices during emergency department resuscitation: A video-recording and time-motion study	Huang E.P.C.; Wang H.-C.; Ko P.C.I.; Chang A.M.; Fu C.-M.; Chen J.-W.; Liao Y.-C.; Liu H.-C.; Fang Y.-D.; Yang C.-W.; Chiang W.-C.; Ma M.H.M.; SHYR-CHYR CHEN
臺大學術典藏	2013	Obstacles delaying the prompt deployment of piston-type mechanical cardiopulmonary resuscitation devices during emergency department resuscitation: A video-recording and time-motion study	Huang E.P.C.; Wang H.-C.; Ko P.C.I.; Chang A.M.; Fu C.-M.; Chen J.-W.; Liao Y.-C.; Liu H.-C.; Fang Y.-D.; Yang C.-W.; Chiang W.-C.; MATTHEW HUEI-MING MA; Chen S.-C.
臺大學術典藏	2013	Obstacles delaying the prompt deployment of piston-type mechanical cardiopulmonary resuscitation devices during emergency department resuscitation: A video-recording and time-motion study	Huang E.P.C.; Wang H.-C.; Ko P.C.I.; Chang A.M.; Fu C.-M.; Chen J.-W.; Liao Y.-C.; Liu H.-C.; Fang Y.-D.; Yang C.-W.; WEN-CHU CHIANG; Ma M.H.M.; Chen S.-C.
臺大學術典藏	2013	Obstacles delaying the prompt deployment of piston-type mechanical cardiopulmonary resuscitation devices during emergency department resuscitation: A video-recording and time-motion study	Huang E.P.C.; Wang H.-C.; Ko P.C.I.; Chang A.M.; Fu C.-M.; Chen J.-W.; Liao Y.-C.; Liu H.-C.; Fang Y.-D.; Yang C.-W.; Chiang W.-C.; MATTHEW HUEI-MING MA; Chen S.-C.
國立臺灣科技大學	2005	A new method to deal with fuzzy classification problems by tuning membership functions for fuzzy classification systems	Chen, S. M.;Fang, Y. D.
國立臺灣科技大學	2005	A new approach for handling the Iris data classification problem	Chen, S. M.;Fang, Y. D.
國立臺灣科技大學	2003	A new method for dealing with fuzzy classification problems by tuning membership functions for fuzzy classification systems	Fang, Y. D.;Chen, S. M.
國立臺灣科技大學	2002	A new method for handling classification problems based on the distribution of training instances	Fang, Y. D.;Chen, S. M.

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