Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Shangwen Li"'
Publikováno v:
Energies, Vol 17, Iss 16, p 3918 (2024)
Nowadays, intermittent energy resources, such as wind turbines, and direct current (DC) transmission have been extensively integrated into power systems. This paper proposes an identifying method for weak lines of novel power systems with intermitten
Externí odkaz:
https://doaj.org/article/8e39da0760cd46daaf2cccd1d5cf2820
Autor:
Caplin, Andrew, Deming, David J., Shangwen Li, Martin, Daniel J., Marx, Philip, Weidmann, Ben, Ye, Kadachi Jiada
Publikováno v:
NBER Working Papers; Oct2024, Issue 33038-33089, Preceding p1-22, 23p
Autor:
Anqi He, Shangwen Li
Publikováno v:
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE).
Autor:
Xiaobin Pan, Shangwen Liu
Publikováno v:
World Development Sustainability, Vol 4, Iss , Pp 100148- (2024)
Energy production and consumption is the primary source of global carbon emissions. In order to achieve the goal of Intended Nationally Determined Contributions (INDCs) in the Paris Agreement, countries around the world have set off an upsurge of ene
Externí odkaz:
https://doaj.org/article/05fbb46f39804394b966d1b40284b509
Publikováno v:
Journal of Visual Communication and Image Representation. 55:131-141
We study the problem of 3D object detection from RGB-D images so as to achieve localization (i.e., producing a bounding box around the object) and classification (i.e., determining the object category) simultaneously. Its challenges arise from high i
Publikováno v:
Journal of Physics: Conference Series. 1939:012056
In order to better standardize the process of disassembly and assembly of a certain type of surface-to-air missile co-launcher assembly frame, improve the efficiency of bomb replacement, and shorten the preparation time for combat, this paper uses Pr
Publikováno v:
WACV
As the number of object categories continues to increase in object classification, it is inevitable to have certain categories that are more confusing than others due to the proximity of their samples in the feature space. In this work, we conduct a
Publikováno v:
APSIPA
Scene classification is more challenging than object classification due to higher ambiguity in scene labels. In this work, we propose to use the filter weights at the last stage of a CNN model trained by the Places dataset, which is also known as the
Publikováno v:
Advanced Science, Vol 10, Iss 32, Pp n/a-n/a (2023)
Abstract Despite tremendous efforts that have been dedicated to high‐performance electrochemical energy storage devices (EESDs), traditional electrode fabrication processes still face the daunting challenge of limited energy/power density or compro
Externí odkaz:
https://doaj.org/article/3a38b05702ce450085d1e4b64b67adc3
Publikováno v:
Computer Vision – ACCV 2016 ISBN: 9783319541921
ACCV (5)
ACCV (5)
The task of estimating the spatial layout of cluttered indoor scenes from a single RGB image is addressed in this work. Existing solutions to this problem largely rely on hand-crafted features and vanishing lines, and they often fail in highly clutte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dd78f327c54c023012c212492bcf286
https://doi.org/10.1007/978-3-319-54193-8_3
https://doi.org/10.1007/978-3-319-54193-8_3