English  |  正體中文  |  简体中文  |  2823515  
???header.visitor??? :  30388454    ???header.onlineuser??? :  965
???header.sponsordeclaration???
 
臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
???ui.leftmenu.abouttair???

???ui.leftmenu.bartitle???

???index.news???

???ui.leftmenu.copyrighttitle???

???ui.leftmenu.link???

"yang syu"???jsp.browse.items-by-author.description???

???jsp.browse.items-by-author.back???
???jsp.browse.items-by-author.order1??? ???jsp.browse.items-by-author.order2???

Showing items 1-9 of 9  (1 Page(s) Totally)
1 
View [10|25|50] records per page

Institution Date Title Author
國立臺灣海洋大學 2018 Test-Oriented RESTful Service Discovery with Semantic Interface Compatibility Shang-Pin Ma;Ying-Jen Chen;Yang Syu;Hsuan-Ju Lin;Yong-Yi FanJiang
國立臺灣海洋大學 2017-03 An Overview and Classification of Service Description Approaches in Automated Service Composition Research Yong-Yi Fanjiang; Yang Syu; Shang-Pin Ma; Jong-Yih Kuo
國立臺灣海洋大學 2015-06 Applying Genetic Programming for Time-Aware Dynamic QoS Prediction Yang Syu; Yong-Yi Fanjiang; Jong-Yih Kuo; Shang-Pin Ma
國立臺灣海洋大學 2014-06 A Review of the Automatic Web Service Composition Surveys Yang Syu; Yong-Yi Fanjiang; Jong-Yih Kuo; Shang-Pin Ma
國立臺灣海洋大學 2012-06 A Survey on Automated Service Composition Methods and Related Techniques Yang Syu; Shang-Pin Ma; Jong-Yih Kuo; Yong-Yi FanJiang
國立臺灣海洋大學 2011-07 An Automated Workflow Composition to Semantic Web Services Yang Syu; Yong-Yi Fanjiang; Jong-Yih Kuo; Shang-Pin Ma
國立臺灣海洋大學 2011-07 Towards a Genetic Algorithm Approach to Automating Workflow Composition for Web Services with Transactional and QoS-Awareness Yang Syu; Yong-Yi FanJiang; Jong-Yih Kuo; Shang-Pin Ma
國立臺灣海洋大學 2011-06 Transactional Web Services Composition: A Genetic Algorithm Approach Yong-Yi FanJiang; Yang Syu; Shang-Pin Ma; Jong-Yih Kuo
國立臺灣海洋大學 2010-07 Genetic algorithm for QoS-aware dynamic web services composition Yong-Yi Fanjiang;Yang Syu;Chun-Hung Wu;Jong-Yih Kuo;Shang-Pin Ma

Showing items 1-9 of 9  (1 Page(s) Totally)
1 
View [10|25|50] records per page