中国科学院重庆绿色智能技术研究院机构知识库

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	Bayesian Network Structure Learning Approach Based on Searching Local Structure of Strongly Connected Components 期刊论文 IEEE ACCESS, 2022, 卷号: 10, 页码: 67630-67638 作者:  Zhong, Kunhua;  Chen, Yuwen;  Zhang, Ju;  Qin, Xiaolin 收藏  |  浏览/下载：54/0  |  提交时间：2022/08/22 Bayes methods  Approximation algorithms  Search problems  Directed graphs  Heuristic algorithms  Periodic structures  Random variables  Bayesian network  structure learning  hill climbing search  strongly connected component
	A fast method to evaluate water eutrophication 期刊论文 JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2016, 卷号: 23, 期号: 12, 页码: 3204-3216 作者:  Yan Hu-yong;  Wang Guo-yin;  Zhang Xue-rui;  Dong Jian-hua;  Shan Kun;  Wu Di;  Huang Yu;  Zhou Bo-tian;  Su Yu-ting Adobe PDF(910Kb)  |  收藏  |  浏览/下载：127/0  |  提交时间：2018/03/15 rough set theory  petri nets  eutrophication
	Evaluating levels and health risk of heavy metals in exposed workers from surgical instrument manufacturing industries of Sialkot, Pakistan 期刊论文 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 卷号: 23, 期号: 18, 页码: 18010-18026 作者:  Junaid, Muhammad;  Hashmi, Muhammad Zaffar;  Malik, Riffat Naseem Adobe PDF(1726Kb)  |  收藏  |  浏览/下载：129/0  |  提交时间：2018/03/15 Heavy metals  Surgical industry  Biological monitoring  Health risk assessment  Oxidative stress  Dust