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Evaluation of machine learning method in genomic selection for growth traits of Pacific white shrimp 期刊论文
AQUACULTURE, 2024, 卷号: 581, 页码: 9
作者:  Luo, Zheng;  Yu, Yang;  Bao, Zhenning;  Li, Fuhua
收藏  |  浏览/下载:24/0  |  提交时间:2024/04/07
Growth traits  Genomic selection  Auto-machine learning  Prediction accuracy  Litopeneaus vannamei  
DeepBlue: Advanced convolutional neural network applications for ocean remote sensing 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2023, 页码: 24
作者:  Wang, Haoyu;  Li, Xiaofeng
Adobe PDF(4818Kb)  |  收藏  |  浏览/下载:4/0  |  提交时间:2024/04/07
Characteristics of surface physical and biogeochemical parameters within mesoscale eddies in the Southern Ocean 期刊论文
BIOGEOSCIENCES, 2023, 卷号: 20, 期号: 23, 页码: 4857-4874
作者:  Liu, Qian;  Liu, Yingjie;  Li, Xiaofeng
Adobe PDF(15026Kb)  |  收藏  |  浏览/下载:26/0  |  提交时间:2024/04/07
Multilayer Fusion Recurrent Neural Network for Sea Surface Height Anomaly Field Prediction 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:  Zhou, Yuan;  Lu, Chang;  Chen, Keran;  Li, Xiaofeng
Adobe PDF(5381Kb)  |  收藏  |  浏览/下载:209/0  |  提交时间:2022/04/12
Computer architecture  Microprocessors  Predictive models  Mathematical models  Sea surface  Data models  Satellites  Deep learning (DL)  field prediction  satellite remote sensing data  sea surface height anomaly (SSHA)  
Quality control for ocean observations: From present to future 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2021, 页码: 18
作者:  Tan, Zhetao;  Zhang, Bin;  Wu, Xiaofen;  Dong, Mingmei;  Cheng, Lijing
Adobe PDF(2147Kb)  |  收藏  |  浏览/下载:243/0  |  提交时间:2022/01/05
Quality control  Ocean observations  Temperature  Salinity  Data quality  Big data  
Developing a microscopic image dataset in support of intelligent phytoplankton detection using deep learning 期刊论文
ICES JOURNAL OF MARINE SCIENCE, 2020, 卷号: 77, 期号: 4, 页码: 1427-1439
作者:  Li, Qiong;  Sun, Xin;  Dong, Junyu;  Song, Shuqun;  Zhang, Tongtong;  Liu, Dan;  Zhang, Han;  Han, Shuai
Adobe PDF(1234Kb)  |  收藏  |  浏览/下载:229/0  |  提交时间:2021/04/12
deep learning  microscopic image  object detection  phytoplankton dataset  
A Novel Marine Oil Spillage Identification Scheme Based on Convolution Neural Network Feature Extraction From Fully Polarimetric SAR Imagery 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 59801-59820
作者:  Song, Dongmei;  Zhen, Zongjin;  Wang, Bin;  Li, Xiaofeng;  Gao, Le;  Wang, Ning;  Xie, Tao;  Zhang, Ting
Adobe PDF(5827Kb)  |  收藏  |  浏览/下载:220/0  |  提交时间:2020/09/23
Marine oil spill  RADARSAT-2  PolSAR  deep learning  feature extraction  convolutional neural network (CNN)  
生态脆弱性评估及其空间格局优化研究—以山东长岛为例 学位论文
理学博士, 中国科学院海洋研究所: 中国科学院大学, 2019
作者:  秦克玉
Adobe PDF(4445Kb)  |  收藏  |  浏览/下载:238/0  |  提交时间:2019/06/14
生态,评估,海岛,贝叶斯网络分析,空间格局优化  
Evaluation of body weight of sea cucumber Apostichopus japonicus by computer vision 期刊论文
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2015, 卷号: 33, 期号: 1, 页码: 114-120
作者:  Liu Hui;  Xu Qiang;  Liu Shilin;  Zhang Libin;  Yang Hongsheng
Adobe PDF(684Kb)  |  收藏  |  浏览/下载:296/0  |  提交时间:2015/06/15
Apostichopus Japonicas  Wet Weight  Computer Vision  Support Vector Machine