Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Cheng-Lung Huang"'
Autor:
Cheng-Lung Huang, 黃政龍
102
No-dig methods such as pipe-jacking and shielded TBMs are popularly used in public utilities. Because of the advantage of cost, pipe-jacking is more popular than shielded TBMs. However, how to predict jacking force in different geological co
No-dig methods such as pipe-jacking and shielded TBMs are popularly used in public utilities. Because of the advantage of cost, pipe-jacking is more popular than shielded TBMs. However, how to predict jacking force in different geological co
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/64974472108513593092
Autor:
Cheng-Lung Huang, 黃政隆
102
Municipal solid waste incinerator (MSWI) bottom ash should be pretreated before reusing, which can reduce the risk of polluting the environment by leaching the heavy metals from bottom ash. It is significant scientific and engineering benefi
Municipal solid waste incinerator (MSWI) bottom ash should be pretreated before reusing, which can reduce the risk of polluting the environment by leaching the heavy metals from bottom ash. It is significant scientific and engineering benefi
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/65513820447448787610
Autor:
Cheng-Lung Huang, 黃政龍
97
Over the past several decades, technological advances have vastly expanded the law enforcement’s criminal prevention and investigation ability. The law enforcement has relied on three types of surveillance techniques: GPS tracking device, M
Over the past several decades, technological advances have vastly expanded the law enforcement’s criminal prevention and investigation ability. The law enforcement has relied on three types of surveillance techniques: GPS tracking device, M
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/96993369946376041864
Autor:
Cheng-Lung Huang
Publikováno v:
Intelligent Data Analysis. 23:623-639
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a4da4845bc3a979b0f02fbbb3ec9820
https://doi.org/10.3233/ida-183910
https://doi.org/10.3233/ida-183910
Publikováno v:
Knowledge-Based Systems. 56:86-96
Tag frequency, recency, and duration were combined to model the personalized preference.The social network was utilized to find similar users in the collaborative filtering.The incorporated system was applied to the social resource sharing systems. R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffbb5f177926a7702b53e4d7cb953d40
https://doi.org/10.1016/j.knosys.2013.11.001
https://doi.org/10.1016/j.knosys.2013.11.001
Publikováno v:
Applied Soft Computing. 13:3864-3872
Ant colony optimization (ACO) and particle swarm optimization (PSO) are two popular algorithms in swarm intelligence. Recently, a continuous ACO named ACOR was developed to solve the continuous optimization problems. This study incorporated ACOR with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2607500dab51695fdc0d3fb24c84893c
https://doi.org/10.1016/j.asoc.2013.05.003
https://doi.org/10.1016/j.asoc.2013.05.003
Publikováno v:
Applied Mathematics and Computation. 218:10647-10655
Flight safety has always been the major attention subject in civil aviation in view of the rapid and continuous growth in air transportation traffic volume. The Airline Safety Assessment System, which is currently under development by the Taiwan Civi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2152add3ed22b2f37104b504b44e042
https://doi.org/10.1016/j.amc.2012.04.029
https://doi.org/10.1016/j.amc.2012.04.029
Autor:
Cheng-Lung Huang
Publikováno v:
Neurocomputing. 73:438-448
This work presents a novel hybrid ACO-based classifier model that combines ant colony optimization (ACO) and support vector machines (SVM) to improve classification accuracy with a small and appropriate feature subset. To simultaneously optimize the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4399909321aa1f50576345f75adff39f
https://doi.org/10.1016/j.neucom.2009.07.014
https://doi.org/10.1016/j.neucom.2009.07.014