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A Deep Learning Model to Recognize and Quantitatively Analyze Cold Seep Substrates and the Dominant Associated Species 期刊论文
FRONTIERS IN MARINE SCIENCE, 2021, 卷号: 8, 页码: 11
作者:  Wang, Haining;  Fu, Xiaoxue;  Zhao, Chengqian;  Luan, Zhendong;  Li, Chaolun
Adobe PDF(3853Kb)  |  收藏  |  浏览/下载：182/0  |  提交时间：2022/02/18
cold seep  substrates  epifauna  Faster R-CNN  FPN  VGG16  
In situ detection of the fine scale heterogeneity of active cold seep environment of the Formosa Ridge, the South China Sea 期刊论文
JOURNAL OF MARINE SYSTEMS, 2021, 卷号: 218, 页码: 10
作者:  Cao, Lei;  Lian, Chao;  Zhang, Xin;  Zhang, Huan;  Wang, Hao;  Zhou, Li;  Wang, Minxiao;  Chen, Hao;  Luan, Zhendong;  Li, Chaolun
Adobe PDF(9380Kb)  |  收藏  |  浏览/下载：303/1  |  提交时间：2021/06/24
Cold seep  In situ detection  Origin of methane  Chemosynthetic ecosystem  Environmental condition  
Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model-Applied to the Changshan Islands 期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 卷号: 18, 期号: 8, 页码: 24
作者:  Qin, Keyu;  Huang, Haijun;  Liu, Jingya;  Yan, Liwen;  Liu, Yanxia;  Bi, Haibo;  Zhang, Zehua;  Zhang, Yi
Adobe PDF(24670Kb)  |  收藏  |  浏览/下载：210/0  |  提交时间：2021/06/24
island  ecological vulnerability  Bayesian network  impact mechanism  the Changshan Islands