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Comparative performance assessment of landslide susceptibility models with presence-only, presence-absence, and pseudo-absence data 期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 12, 页码: 2961-2981
作者:  Zhao, Dong-mei;  Jiao, Yuan-mei;  Wang, Jin-liang;  Ding, Yin-ping;  Liu, Zhi-lin
收藏  |  浏览/下载：24/0  |  提交时间：2023/02/17
A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods 期刊论文
CATENA, 2019, 卷号: 183, 页码: 17
作者:  Zhu, A-Xing;  Miao, Yamin;  Liu, Junzhi;  Bai, Shibiao;  Zeng, Canying
收藏  |  浏览/下载：6/0  |  提交时间：2020/05/19
An EEMD-ICA Approach to Enhancing Artifact Rejection for Noisy Multivariate Neural Data 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2016, 卷号: 24, 期号: 6
作者:  Zeng, Ke;  Chen, Dan;  Ouyang, Gaoxiang;  Wang, Lizhe;  Liu, Xianzeng
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/05
Climate change threatens giant panda protection in the 21st century SCI/SSCI论文
2015
作者:  Li R. Q.;  Xu, M.;  Wong, M. H. G.;  Qiu, S.;  Li, X. H.
收藏  |  浏览/下载：25/0  |  提交时间：2015/12/09
Climate change-induced decline in bamboo habitats and species diversity: implications for giant panda conservation SCI/SSCI论文
2015
作者:  Li R. Q.;  Xu, M.;  Wong, M. H. G.;  Qiu, S.;  Sheng, Q. K.
收藏  |  浏览/下载：22/0  |  提交时间：2015/12/09
A software framework for classification models of geographical data 期刊论文
计算机与地学, 2012
Liu, Yu; Guo, Qinghua; Tian, Yuan
收藏  |  浏览/下载：3/0  |  提交时间：2015/11/10
Predicting potential distributions of geographic events using one-class data: concepts and methods 期刊论文
international journal of geographical information science, 2011
Guo, Q.; Li, W.; Liu, Y.; Tong, D.
收藏  |  浏览/下载：3/0  |  提交时间：2015/11/12
Giant panda habitat selection in Foping Nature Reserve, China 期刊论文
2010, 2010, OCT
Liu, XH; Toxopeus, AG; Skidmore, AK; Shao, XM; Dang, GD; Wang, TJ; Prins, HHT
收藏  |  浏览/下载：4/0  |  提交时间：2017/06/15
Research of error correction of LEO satellite orbit prediction for vehicle-borne tracking and position device (EI CONFERENCE) 会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Zhang P.-L.; Guo L.-H.; Wang J.-J.
收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25
Vehicle-borne tracking and position device is used to track LEO satellite. Because of the absence of the target which might be caused by cloud or zenith blind zone  the forecasting data will be used to acquire the target. While orbit prediction has serious errors  the target is always missed. Meanwhile  in its application to the vehicle-borne tracking and position device  due to the base of instability in the tracking process  it will result in significant difference between predicting data and tracking data  so the target will be not tracked rapidly. We applied tracking data to predict satellite orbits by improving Laplace method  and then corrected the error between Predicted data and actual measured data by interpolation method of Lagrange which improves the accuracy of prediction values. The testing data shows the accuracy of predicted data ranging from 3' to 10" for both azimuth and elevation when extrapolated satellite orbit to 7 seconds time. 2010 IEEE.  
A new method of pseudo absence data generation in landslide susceptibility mapping with a case study of Shenzhen 期刊论文
science china technological sciences, 2010
Xiao ChenChao; Tian Yuan; Shi WenZhong; Guo QingHua; Wu Lun
收藏  |  浏览/下载：6/0  |  提交时间：2015/11/10

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