中文版 | English

在结果中检索

YIC-IR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件                            
已选(0)清除 条数/页：   排序方式：
A Novel Approach of Monitoring Ulva pertusa Green Tide on the Basis of UAV and Deep Learning 期刊论文
WATER, 2023, 卷号: 15, 期号: 17, 页码: 14
作者:  Xing, Qianguo;  Liu, Hailong;  Li, Jinghu;  Hou, Yingzhuo;  Meng, Miaomiao;  Liu, Chunli
收藏  |  浏览/下载：271/0  |  提交时间：2023/11/15
Ulva pertusa  U-Net  deep learning  remote sensing  unmanned aerial vehicle  
Characterization of oxidative damage induced by nanoparticles via mechanism-driven machine learning approaches 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 871, 页码: 11
作者:  Wang, Xiaoqing;  Li, Fei;  Teng, Yuefa;  Ji, Chenglong;  Wu, Huifeng
收藏  |  浏览/下载：95/0  |  提交时间：2024/01/26
Toxic effects  Machine learning  Risk assessment  Mechanism -driven analysis  TiO2-based engineered nanoparticles(nTiO2)  
Assessment of surface current measured by HF radars within a suspended kelp aquaculture zone in China 期刊论文
ESTUARINE COASTAL AND SHELF SCIENCE, 2023, 卷号: 282, 页码: 11
作者:  Zheng, Xiangyang;  Ding, Yana;  Xu, Yandong;  Zou, Tao;  Meng, Ling;  Tang, Cheng;  Xing, Qianguo
收藏  |  浏览/下载：118/0  |  提交时间：2024/01/26
HF radar assessment  Surface current measurement  Suspended coastal aquaculture  HF radar Echo power  
Emerging signals of coastal system changes under rapid anthropogenic disturbance in Hangzhou Bay, China 期刊论文
ECOLOGICAL INDICATORS, 2023, 卷号: 146, 页码: 9
作者:  Fan, Chao;  Hou, Xiyong;  Zheng, Qian;  Xu, He;  Li, Dong;  Donnici, Sandra;  Tang, Cheng
浏览  |  Adobe PDF(10372Kb)  |  收藏  |  浏览/下载：297/82  |  提交时间：2023/08/17
Coastal system  DPSR framework  Environmental indicators  Hangzhou Bay  Morphological changes  Rapid anthropogenic disturbance  
Fast Spirulina detection with fixed-focus microscope and deep learning 期刊论文
Proceedings of SPIE - The International Society for Optical Engineering, 2023, 卷号: 12563
作者:  Liu, Hao;  Lu, Zhen;  Wang, Yinchu;  Chen, Ruiquan;  Cai, Yuwei;  Xu, Nanlin;  Peng, Zheng;  Peng, Xiao;  Wu, Huifeng
收藏  |  浏览/下载：106/0  |  提交时间：2024/01/26
Deep learning  Food processing  Microalgae  Viruses