Zobrazeno 1 - 10
of 1 206
pro vyhledávání: '"YANG Zijiang"'
Publikováno v:
Haiyang Kaifa yu guanli, Vol 41, Iss 3, Pp 153-162 (2024)
In order to adapt to the changes in the consumption structure of aquatic products in our country, the future consumption trend of aquatic products is studied and judged, in order to play an academic supporting role for the overall planning and scient
Externí odkaz:
https://doaj.org/article/238927a5879540c4bd7f946bf295a72f
Autor:
YANG Zijiang, ZHANG Lihong, LIAO Guozhou, TIAN Mei, LÜ Donglin, HE Ying, GE Changrong, WANG Guiying
Publikováno v:
Shipin Kexue, Vol 44, Iss 2, Pp 312-318 (2023)
In order to explore the chemical nature of red pigment in Nuodeng ham, the red pigment was extracted with 75% acetone aqueous solution and purified using a C18 solid phase extraction column, and its chemical structure was characterized by using ultra
Externí odkaz:
https://doaj.org/article/21e97d3701624e4883d6f7592fbdb16a
Autor:
Yang, Zijiang
Natural Language Inference (NLI) is the task of inferring whether the hypothesis can be justified by the given premise. Basically, we classify the hypothesis into three labels(entailment, neutrality and contradiction) given the premise. NLI was well
Externí odkaz:
http://arxiv.org/abs/2412.07108
Autor:
Hao, Kunkun, Luo, Yonggang, Cui, Wen, Bai, Yuqiao, Yang, Jucheng, Yan, Songyang, Pan, Yuxi, Yang, Zijiang
Publikováno v:
IEEE Transactions on Intelligent Vehicles (2023)
Evaluating the decision-making system is indispensable in developing autonomous vehicles, while realistic and challenging safety-critical test scenarios play a crucial role. Obtaining these scenarios is non-trivial, thanks to the long-tailed distribu
Externí odkaz:
http://arxiv.org/abs/2408.03200
Publikováno v:
Sensors and Materials 2024
Metal Sintering is a necessary step for Metal Injection Molded parts and binder jet such as HP's metal 3D printer. The metal sintering process introduces large deformation varying from 25 to 50% depending on the green part porosity. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2404.11753
Autor:
Xin, Haojie, Zhang, Xiaodong, Tang, Renzhi, Yan, Songyang, Zhao, Qianrui, Yang, Chunze, Cui, Wen, Yang, Zijiang
Simulation is pivotal in evaluating the performance of autonomous driving systems due to the advantages of high efficiency and low cost compared to on-road testing. Bridging the gap between simulation and the real world requires realistic agent behav
Externí odkaz:
http://arxiv.org/abs/2403.04299
Autor:
Song, Guangxuan, Fu, Dongmei, Qiu, Zhongwei, Yang, Zijiang, Dai, Jiaxin, Ma, Lingwei, Zhang, Dawei
Using machine learning (ML) techniques to predict material properties is a crucial research topic. These properties depend on numerical data and semantic factors. Due to the limitations of small-sample datasets, existing methods typically adopt ML al
Externí odkaz:
http://arxiv.org/abs/2312.09744
Automated driving vehicles~(ADV) promise to enhance driving efficiency and safety, yet they face intricate challenges in safety-critical scenarios. As a result, validating ADV within generated safety-critical scenarios is essential for both developme
Externí odkaz:
http://arxiv.org/abs/2311.10937
Conditional graphic layout generation, which automatically maps user constraints to high-quality layouts, has attracted widespread attention today. Although recent works have achieved promising performance, the lack of versatility and data efficiency
Externí odkaz:
http://arxiv.org/abs/2311.06495
Autor:
Yang, Changan, Chen, Yaxing, Zhang, Yao, Cui, Helei, Yu, Zhiwen, Guo, Bin, Yan, Zheng, Yang, Zijiang
Vehicular crowd intelligence (VCI) is an emerging research field. Facilitated by state-of-the-art vehicular ad-hoc networks and artificial intelligence, various VCI applications come to place, e.g., collaborative sensing, positioning, and mapping. Th
Externí odkaz:
http://arxiv.org/abs/2310.07268