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中国地质文献-英文(8)	SpringerLink电子期刊(179)	NATURE电子期刊(2)	Elsevier电子期刊(527)
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在“Elsevier电子期刊”中，命中：527条，耗时：0.1019464 秒

在所有数据库中总计命中：777条

1.Ground-based network observation using Mie-Raman lidars and multi-wavelength Raman lidars and algorithm to retrieve distributions of aerosol components

作者：Tomoaki Nishizawa^a ; ^{nisizawa@nies.go.jp} ; Nobuo Sugimoto^a ; Ichiro Matsui^a ; Atsushi Shimizu^a ; Yukari Hara^b ; Uno Itsushi^b ; Kazuaki Yasunaga^c ; Rei Kudo^d ; Sang-Woo Kim^e

关键词：Raman lidar ; Ground-based network observation ; Aerosols ; Black carbon ; Air pollution aerosols ; Dust

刊名：Journal of Quantitative Spectroscopy and Radiative Transfer

出版年：2017

2.Validating CHIRPS-based satellite precipitation estimates in Northeast Brazil

作者：Franklin J. Paredes-Trejo^a ; ^{franklinparedes75@gmail.com} ; H.A. Barbosa^b ; T.V. Lakshmi Kumar^c

关键词：Satellite-based precipitation ; Ground-based validation ; Northeast Brazil

刊名：Journal of Arid Environments

出版年：2017

3.Novel SVM-based technique to improve rainfall estimation over the Mediterranean region (north of Algeria) using the multispectral MSG SEVIRI imagery

作者：Mounir Sehad ; Mourad Lazri ; ^{m_lazri@yahoo.fr} ; Soltane Ameur

关键词：Meteosat Second Generation (MSG) ; Weather radar ; Support vector machine (SVM) ; Rainfall estimation

刊名：Advances in Space Research

出版年：2017

4.A weighted local view method based on observation over ground truth for community detection

作者：Yanmei Hu^a ; ^{huym260@126.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Bo Yang^a ; ^{yangbo@uestc.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Hau-San Wong^b ; ^{cshswong@cityu.edu.hk" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Community detection ; Social networks ; Personalized PageRank vector ; Ground-truth communities ; Community structure

刊名：Information Sciences

出版年：2016

5.Relationship of ground-level aerosol concentration and atmospheric electric field at three observation sites in the Arctic, Antarctic and Europe

作者：Marek Kubicki ; ^{swider@igf.edu.pl" class="auth_mail" title="E-mail the corresponding author} ; Anna Odzimek ; Mariusz Neska

关键词：Atmospheric aerosols ; Atmospheric measurements ; Atmospheric electricity ; Fair-weather ; Electric field ; Potential gradient ; Global atmospheric electric circuit ; Planetary boundary layer

刊名：Atmospheric Research

出版年：2016

6.Relationship between human observations of thunderstorms and the PERUN lightning detection network in Poland

作者：Bartosz Czernecki^a ; ^{nwp@amu.edu.pl" class="auth_mail" title="E-mail the corresponding author} ; Mateusz Taszarek^a ; Leszek Kolendowicz^a ; Jerzy Konarski^b

关键词：Thunderstorm ; SYNOP ; Cloud-to-ground lightning ; Relationship ; Poland

刊名：Atmospheric Research

出版年：2016

7.Interferometric phase reconstruction using simplified coherence network

作者：Kui Zhang^a ; ^{zk@cqu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Ruiqing Song^b ; Hui Wang^a ; Di Wu^a ; Hua Wang^c

关键词：Persistent scatterer interferometry ; Interferometric stacking techniques ; Phase reconstruction ; Coherence matrix ; Simplified coherence network

刊名：ISPRS Journal of Photogrammetry and Remote Sensing

出版年：2016

8.Representativeness of the ground observational sites and up-scaling of the point soil moisture measurements

作者：Jinlei Chen^a ; ^b ; Jun Wen^a ; ^{jwen@lzb.ac.cn" class="auth_mail" title="E-mail the corresponding author} ; Hui Tian^a

关键词：Soil moisture ; Up-scaling ; Time stability analysis ; Sliding correlation analysis

刊名：Journal of Hydrology

出版年：2016

9.Analysis of meteorological variables in the Australasian region using ground- and space-based GPS techniques

作者：Yuriy Kuleshov^a ; ^b ; ^c ; ^d ; ^{y.kuleshov@bom.gov.au" class="auth_mail" title="E-mail the corresponding author} ; Suelynn Choy^b ; Erjiang Frank Fu^a ; Fabrice Chane-Ming^e ; Yuei-An Liou^f ; Alexander G. Pavelyev^g

关键词：Temperature ; Moisture ; Remote sensing ; Climate ; Meteorology

刊名：Atmospheric Research

出版年：2016

10.CNNTracker: Online discriminative object tracking via deep convolutional neural network

作者：Yan Chen ; ^{yannychen@hqu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Xiangnan Yang ; Bineng Zhong ; Shengnan Pan ; Duansheng Chen ; Huizhen Zhang

关键词：Deep learning ; Object tracking ; Convolutional neural network ; Object appearance model ; Large scale training data

刊名：Applied Soft Computing

出版年：2016

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