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pro vyhledávání: '"Yaoying Wang"'
Publikováno v:
Engineering Reports, Vol 6, Iss 9, Pp n/a-n/a (2024)
Abstract The application of artificial intelligence in smart grid operations, particularly for defect detection, has seen remarkable progress. However, effectively leveraging multi‐modal data sources to enhance defect detection performance remains
Externí odkaz:
https://doaj.org/article/c6707fa0f1c843e9a52f9c52c09bb781
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28381- (2024)
This paper proposes a new method for short-term electric load forecasting using a Ridgelet Neural Network (RNN) combined with a wavelet transform and optimized by a Self-Adapted (SA) Kho-Kho algorithm (SAKhoKho). The aim of this method is to improve
Externí odkaz:
https://doaj.org/article/7a709374d02e4af3ad539128fe729671
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 14180-14200 (2023)
Knowledge graph embedding aims to learn representation vectors for the entities and relations. Most of the existing approaches learn the representation from the structural information in the triples, which neglects the content related to the entity a
Externí odkaz:
https://doaj.org/article/7ba3068f05314c7796f555051a803479
Publikováno v:
Energies, Vol 16, Iss 24, p 7964 (2023)
In recent years, with the development of societies and economies, the demand for social electricity has further increased. The efficiency and accuracy of electric-load forecasting is an important guarantee for the safety and reliability of power syst
Externí odkaz:
https://doaj.org/article/b64b0a60fd7241a79e66ac308d806d29
Autor:
Yaoying Wang
Publikováno v:
Advances in Engineering & Intelligence Systems; Mar2024, Vol. 3 Issue 1, p10-22, 13p
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9789819911561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ce6a52976fe340776a6cc43423e85b5
https://doi.org/10.1007/978-981-99-1157-8_86
https://doi.org/10.1007/978-981-99-1157-8_86
Autor:
Manrong Ren, Wenting Yang, Jianing Zhang, Li Zhao, Yingjie Quan, Zihan He, Yanan Xu, Fageng Zhang, Ming Yin, Yaoying Wang, Ri Gao
Publikováno v:
Functional Plant Biology.
The apetala/ethylene responsive factor (AP2/ERF) family is one of the largest plant-specific transcription factors and plays a vital role in plant development and response to stress. The apetala 2.4 (RAP2.4) gene is a member of the AP2/ERF family. Wh
Publikováno v:
Advances in Engineering Technology Research. 4:334
The ability of electric load forecasting become the key to measuring electric planning and dispatching, and improving the accuracy of electric load forecasting has become one hot spot topic of scholars in recent years. The traditional electric load f
Autor:
Yaoying Wang, Gang Wang, Xiaoyi Wang, Jie Li, Yuanxun Li, Yulong Liao, Gongwen Gan, Chen Zhenwei, Rongdi Guo, Cheng Liu, Huaiwu Zhang
Publikováno v:
Ceramics International. 46:487-492
Bi2O3 and Al2O3 were proven to separately have an impact on grain growth of LiZn ferrite ceramics. In this study, we synthesized LiZnTiMn ferrite ceramics under low temperature (
Autor:
Yaoying Wang, Gang Li
Publikováno v:
2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).
In traditional e-learning system, the separation of time and space between students and teachers brings about the lack of emotion in students' learning process, and the students' learning effect and teachers' teaching quality have been affected to va