I agree that this site is using cookies. You can find further informations
here
.
X
Login
My folder (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
Show Desktop-Version
Toggle navigation
Hou, Zhangshuan
25
results:
OpenAccess-fulltext X
Search for persons
X
Sorted by: Relevance
Sorted by: Year
?
1
Synchrophasor Data Anomaly Detection on Grid Edge by 5G Com..:
Qin, Chuan
;
Wang, Dexin
;
Guddanti, Kishan Prudhvi
..
http://arxiv.org/abs/2311.07758. , 2023
Link:
http://arxiv.org/abs/231..
?
2
Modeling of streamflow in a 30 km long reach spanning 5 yea..:
Chen, Yunxiang
;
Bao, Jie
;
Fang, Yilin
...
doi:10.5194/gmd-15-2917-2022. , 2022
Link:
https://doi.org/10.5194/..
?
3
Inverse modeling of hydrologic parameters in CLM4 via gener..:
Karagiannis, Georgios
;
Hou, Zhangshuan
;
Huang, Maoyi
.
http://arxiv.org/abs/1910.08409. , 2019
Link:
http://arxiv.org/abs/191..
?
4
Optimal Future Sub-Transmission Volt-Var Planning Tool to E..:
Nguyen, Quan
;
Ke, Xinda
;
Samaan, Nader
...
http://arxiv.org/abs/1910.10934. , 2019
Link:
http://arxiv.org/abs/191..
?
5
Pattern Mining and Anomaly Detection based on Power System ..:
Ren, Huiying
;
Hou, Zhangshuan
;
Wang, Heng
..
Proceedings of the 51st Hawaii International Conference on System Sciences. , 2018
Link:
http://hdl.handle.net/10..
?
6
A sampling-based Bayesian model for gas saturation estimati..:
Hou, Zhangshuan
qt2m44z82b. , 2006
Link:
https://escholarship.org..
?
7
Joint inversion of seismic AVO and EM data for gas saturati..:
Chen, Jinsong
;
Hoversten, G. Michael
;
Vasco, D.W
..
qt87h2w0qm. , 2004
Link:
https://escholarship.org..
?
8
Dynamic Security Analysis Framework for Future Large Grids ..:
Kishan Prudhvi Guddanti
;
Bharat Vyakaranam
;
Kaveri Mahapatra
...
https://ieeexplore.ieee.org/document/10021977/. , 2023
Link:
https://doi.org/10.1109/..
?
9
Large Ensemble Diagnostic Evaluation of Hydrologic Paramete..:
Hongxiang Yan
;
Ning Sun
;
Hisham Eldardiry
...
https://doi.org/10.1029/2022MS003312. , 2023
Link:
https://doi.org/10.1029/..
?
10
Design of a Battery Energy Management System for Capacity C..:
Di Wu
;
Xu Ma
;
Tao Fu
...
https://ieeexplore.ieee.org/document/9852253/. , 2022
Link:
https://doi.org/10.1109/..
?
11
Inverse Modeling of Hydrologic Parameters in CLM4 via Gener..:
Georgios Karagiannis
;
Zhangshuan Hou
;
Maoyi Huang
.
Computational Engineering. , 2022
Link:
https://doi.org/10.3390/..
?
12
Datasets for characterizing extreme events relevant to hydr..:
Ning Sun
;
Hongxiang Yan
;
Mark S. Wigmosta
...
https://doi.org/10.1038/s41597-022-01221-9. , 2022
Link:
https://doi.org/10.1038/..
?
13
Inverse Modeling of Hydrologic Parameters in CLM4 via Gener..:
Georgios Karagiannis
;
Zhangshuan Hou
;
Maoyi Huang
.
https://www.mdpi.com/2079-3197/10/5/72. , 2022
Link:
https://doi.org/10.3390/..
?
14
Deep Learning for Automated Detection and Identification of..:
Xiaoqin Zang
;
Tianzhixi Yin
;
Zhangshuan Hou
...
https://dx.doi.org/10.3390/rs13142671. , 2021
Link:
https://doi.org/10.3390/..
?
15
Deep Learning for Automated Detection and Identification of..:
Xiaoqin Zang
;
Tianzhixi Yin
;
Zhangshuan Hou
...
https://www.mdpi.com/2072-4292/13/14/2671. , 2021
Link:
https://doi.org/10.3390/..
1-15