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pro vyhledávání: '"Li,Haiyang"'
Geospatial predictions are crucial for diverse fields such as disaster management, urban planning, and public health. Traditional machine learning methods often face limitations when handling unstructured or multi-modal data like street view imagery.
Externí odkaz:
http://arxiv.org/abs/2411.14476
Autor:
Jin, Xin, Zhu, Hongyu, Yacoubi, Mounîm A. El, Li, Haiyang, Liao, Hongchao, Qin, Huafeng, Jiang, Yun
As a representative of a new generation of biometrics, vein identification technology offers a high level of security and convenience.Convolutional neural networks (CNNs), a prominent class of deep learning architectures, have been extensively utiliz
Externí odkaz:
http://arxiv.org/abs/2405.12721
Publikováno v:
Shipin Kexue, Vol 45, Iss 16, Pp 244-254 (2024)
The study aimed to investigate the changes of metabolites and related flavors in the muscle of fresh mandarin fish (Siniperca chuatsi) during 24 h of postmortem refrigeration at 4 ℃ by ultra performance liquid chromatography coupled with high resol
Externí odkaz:
https://doaj.org/article/2f2ac9bd5ce84ceaa14cd7abb908a271
Autor:
Li, Haiyang, Zhang, Leilei, Li, Mengjiao, Liu, Yeye, Feng, Lei, Song, Boshi, Liu, Qi, Li, Hejun
Publikováno v:
In Materials Characterization December 2024 218 Part 1
Publikováno v:
In Ceramics International 1 December 2024 50(23) Part B:50444-50453
Publikováno v:
In Construction and Building Materials 29 November 2024 453
Publikováno v:
In Journal of Energy Storage 15 November 2024 102 Part A
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500
Autor:
Zhang, Mengru, Song, Zhongxian, Chen, Xi, Liu, Wei, Guo, Ruihua, Fan, Yehua, Gao, Hongrun, Li, Haiyang, Zhang, Xuejun
Publikováno v:
In Journal of the Taiwan Institute of Chemical Engineers November 2024 164
Autor:
Liu, Shuchen, Zhu, Huimin, Chen, Xi, Zhang, Yanyan, Liu, Wei, Li, Haiyang, Song, Zhongxian, Zhang, Xuejun
Publikováno v:
In Process Safety and Environmental Protection November 2024 191 Part B:2322-2334