机构

• 地理科学与资源研究... [17]
• 南京地理与湖泊研究所 [3]
• 合肥物质科学研究院 [3]
• 自动化研究所 [2]
• 深海科学与工程研究所 [2]
• 沈阳自动化研究所 [2]
• 更多

采集方式

• OAI收割 [36]

内容类型

• 期刊论文 [34]
• 会议论文 [2]

发表日期

• 2021 [36]

学科主题

筛选

浏览/检索结果: 共36条，第1-10条 帮助 限定条件 发表日期：2021     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau 期刊论文  OAI收割 CATENA, 2021, 卷号: 207, 页码: 12 作者:  Zhang, Xuanchang;  Li, Yurui;  Liu, Yansui;  Huang, Yunxin;  Wang, Yongsheng   |  收藏  |  浏览/下载：46/0  |  提交时间：2021/11/05 Artificial slope instability  Gully Land Consolidation project  Back Propagation Neural Network (BPNN)  Gutun watershed   Study on neural network algorithm for detecting respirable dust in photoacoustic cavity 期刊论文  OAI收割 AIP ADVANCES, 2021, 卷号: 11 作者:  Jin, Huawei;  Luo, Ping;  Dou, Juan;  Bai, Huachun   |  收藏  |  浏览/下载：22/0  |  提交时间：2022/01/10 Application of seismic multiattribute machine learning to determine coal strata thickness 期刊论文  OAI收割 JOURNAL OF GEOPHYSICS AND ENGINEERING, 2021, 卷号: 18, 期号: 6, 页码: 834-844 作者:  Wu, Yanhui;  Wang, Wei;  Zhu, Guowei;  Wang, Peng   |  收藏  |  浏览/下载：14/0  |  提交时间：2022/09/21 seismic multiattribute  optimal multiparameter  coal strata thickness  machine learning  back propagation artificial neural network   The karst NDVI correlation with climate and its BAS-BP prediction based on multiple factors 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2021, 卷号: 132, 页码: 12 作者:  Ma, Yuju;  Zuo, Liyuan;  Gao, Jiangbo;  Liu, Qiang;  Liu, Lulu   |  收藏  |  浏览/下载：8/0  |  提交时间：2022/09/21 Karst NDVI  Climate impact  BAS-BP prediction  Spatial distribution  Dynamic variation   Application of seismic multiattribute machine learning to determine coal strata thickness 期刊论文  OAI收割 JOURNAL OF GEOPHYSICS AND ENGINEERING, 2021, 卷号: 18, 期号: 6, 页码: 834-844 作者:  Wu, Yanhui;  Wang, Wei;  Zhu, Guowei;  Wang, Peng   |  收藏  |  浏览/下载：16/0  |  提交时间：2022/09/21 seismic multiattribute  optimal multiparameter  coal strata thickness  machine learning  back propagation artificial neural network   Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau 期刊论文  OAI收割 CATENA, 2021, 卷号: 207, 页码: 12 作者:  Zhang, Xuanchang;  Li, Yurui;  Liu, Yansui;  Huang, Yunxin;  Wang, Yongsheng   |  收藏  |  浏览/下载：17/0  |  提交时间：2021/11/05 Artificial slope instability  Gully Land Consolidation project  Back Propagation Neural Network (BPNN)  Gutun watershed   The karst NDVI correlation with climate and its BAS-BP prediction based on multiple factors 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2021, 卷号: 132, 页码: 12 作者:  Ma, Yuju;  Zuo, Liyuan;  Gao, Jiangbo;  Liu, Qiang;  Liu, Lulu   |  收藏  |  浏览/下载：4/0  |  提交时间：2022/09/21 Karst NDVI  Climate impact  BAS-BP prediction  Spatial distribution  Dynamic variation   Real-time prediction of rockburst intensity using an integrated CNN-Adam-BO algorithm based on microseismic data and its engineering application 期刊论文  OAI收割 TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2021, 卷号: 117, 页码: 21 作者:  Yin, Xin;  Liu, Quansheng;  Huang, Xing;  Pan, Yucong   |  收藏  |  浏览/下载：47/0  |  提交时间：2021/10/27 Rockburst prediction  Microseismic data  Convolutional neural network  Adaptive moment estimation optimization  Bayes optimization   Paper Flooding and its relationship with land cover change, population growth, and road density 期刊论文  OAI收割 GEOSCIENCE FRONTIERS, 2021, 卷号: 12, 期号: 6, 页码: 20 作者:  Rahman, Mahfuzur;  Ningsheng, Chen;  Mahmud, Golam Iftekhar;  Islam, Md Monirul;  Pourghasemi, Hamid Reza   |  收藏  |  浏览/下载：36/0  |  提交时间：2021/12/13 Hydro-climatic disasters  Machine learning algorithms  Statistical model  Ensemble model  Relative change in flooding areas   Uav-borne hyperspectral imaging remote sensing system based on acousto-optic tunable filter for water quality monitoring 期刊论文  OAI收割 Remote Sensing, 2021, 卷号: 13, 期号: 20 作者:  Liu, Hong;  Yu, Tao;  Hu, Bingliang;  Hou, Xingsong;  Zhang, Zhoufeng   |  收藏  |  浏览/下载：45/0  |  提交时间：2021/11/01 hyperspectral imaging  acousto-optic tunable filter  UAV platform  remote sensing  water quality monitoring