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of 94
pro vyhledávání: '"Tang, ZhenHao"'
Recent research in the field of multimodal machine translation (MMT) has indicated that the visual modality is either dispensable or offers only marginal advantages. However, most of these conclusions are drawn from the analysis of experimental resul
Externí odkaz:
http://arxiv.org/abs/2404.06107
Recently, numbers of works shows that the performance of neural machine translation (NMT) can be improved to a certain extent with using visual information. However, most of these conclusions are drawn from the analysis of experimental results based
Externí odkaz:
http://arxiv.org/abs/2208.00767
Publikováno v:
Energy 256 (2022) 124552
An automatic encoder (AE) extreme learning machine (ELM)-AE-ELM model is proposed to predict the NOx emission concentration based on the combination of mutual information algorithm (MI), AE, and ELM. First, the importance of practical variables is co
Externí odkaz:
http://arxiv.org/abs/2206.14496
Autor:
Wang, Zhi, Xue, Wenyuan, Li, Kuangyu, Tang, Zhenhao, Liu, Yang, Zhang, Fan, Cao, Shengxian, Peng, Xianyong, Wu, Edmond Q., Zhou, Huaichun
Publikováno v:
In Applied Thermal Engineering 15 January 2025 259
Publikováno v:
ACTA Energiae Solaris Sinica 40 (2019) 3213-3220
The wind power ramp events threaten the power grid safety significantly. To improve the ramp prediction accuracy, a hybrid wavelet deep belief network algorithm with adaptive feature selection (WDBNAFS) is proposed. First, the wind power characterist
Externí odkaz:
http://arxiv.org/abs/2202.05430
Publikováno v:
Proceedings of the CSEE 42 (2022) 5182-5193
The real-time prediction of NOx emissions is of great significance for pollutant emission control and unit operation of coal-fired power plants. Aiming at dealing with the large time delay and strong nonlinear characteristics of the combustion proces
Externí odkaz:
http://arxiv.org/abs/2110.15600
Publikováno v:
Proceedings of the CSEE 42 (2022) 3295-3306
Aiming at the problem that delay time is difficult to determine and prediction accuracy is low in building prediction model of SCR system, a dynamic modeling scheme based on a hybrid of multiple data-driven algorithms was proposed. First, processed a
Externí odkaz:
http://arxiv.org/abs/2108.01240
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Autor:
Wang, Hao, Li, Yidi, Huang, Lin, Xu, Huiying, Jiao, Yukun, Zhou, Zhi, Tang, Zhenhao, Fang, Feifei, Zhang, Xiaoxue, Ding, Kan, Yi, Wei, Liu, Hong, Wu, Xiaowei, Zhou, Yu
Publikováno v:
In Chem Catalysis 21 December 2023 3(12)
Autor:
Xue, Wenyuan, Tang, Zhenhao, Cao, Shengxian, Lv, Manli, Wang, Zhi, Zhao, Bo, Wang, Gong, Lu, Yichen
Publikováno v:
In Measurement 30 November 2023 222