Zobrazeno 1 - 10
of 715
pro vyhledávání: '"Xinbing Wang"'
Publikováno v:
Geoscience Data Journal, Vol 10, Iss 4, Pp 519-537 (2023)
Abstract With the rapid development of big data science, the research paradigm in the field of geosciences has also begun to shift to big data‐driven scientific discovery. Researchers need to read a huge amount of literature to locate, extract and
Externí odkaz:
https://doaj.org/article/17d0927cd339449696454cc4ecacf925
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1484 (2024)
With the advent of big data science, the field of geoscience has undergone a paradigm shift toward data-driven scientific discovery. However, the abundance of geoscience data distributed across multiple sources poses significant challenges to researc
Externí odkaz:
https://doaj.org/article/a378e566147842e5a8e620b29de71188
Publikováno v:
IET Generation, Transmission & Distribution, Vol 17, Iss 4, Pp 947-961 (2023)
Abstract Online health monitoring of thyristor converter valve is very important for the stable operation of high voltage direct current (HVDC) system. However, in practical projects, only offline annual maintenance can be realized. This paper propos
Externí odkaz:
https://doaj.org/article/d3c50b117c1b4dbbb58a685dccaa1898
Autor:
Muhammad Mohsin Nawaz, Mehmood Ali Noor, Hojatollah Latifmanesh, Xinbing Wang, Wei Ma, Weijian Zhang
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Soil compaction due to field trafficking involves a complex interplay of machine-soil properties. In contrast to previous studies simulating worst field scenarios, this two-year field experiment investigated the effects of traffic-induced compaction
Externí odkaz:
https://doaj.org/article/f3155fe2027e4459a220de085515c8ba
Autor:
Jiexing Qi, Chang Su, Zhixin Guo, Lyuwen Wu, Zanwei Shen, Luoyi Fu, Xinbing Wang, Chenghu Zhou
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1521 (2024)
Generating SPARQL queries from natural language questions is challenging in Knowledge Base Question Answering (KBQA) systems. The current state-of-the-art models heavily rely on fine-tuning pretrained models such as T5. However, these methods still e
Externí odkaz:
https://doaj.org/article/00155dfcffba4e7aaa57ae5120f73e40
Autor:
Xinbing Wang, Huquan Kang, Luoyi Fu, Ling Yao, Jiaxin Ding, Jianghao Wang, Xiaoying Gan, Chenghu Zhou, John E Hopcroft
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0279314 (2023)
Scientific literature, as the major medium that carries knowledge between scientists, exhibits explosive growth in the last century. Despite the frequent use of many tangible measures, to quantify the influence of literature from different perspectiv
Externí odkaz:
https://doaj.org/article/0301c1863c474585a7ffd4f4a982b485
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Foam targets are expected to be more efficient candidates than solid targets for laser produced plasma (LPP) for extreme ultraviolet (EUV) and X-ray radiation sources due to the expected plasma conditions that can be optimized regarding plas
Externí odkaz:
https://doaj.org/article/75d85d18f5fb4b0c8435a2f8422b20b0
Autor:
Dong Guo, Chuanyong Chen, Xiangling Li, Rui Wang, Zaisong Ding, Wei Ma, Xinbing Wang, Congfeng Li, Ming Zhao, Ming Li, Baoyuan Zhou
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Adjusting the sowing date to optimize temperature conditions is a helpful strategy for mitigating the adverse impact of high temperature on summer maize growth in the North China Plain (NCP). However, the physiological processes of variation in summe
Externí odkaz:
https://doaj.org/article/8d618baa6ff8452cbbf83a2e6f4a4631
Autor:
Hong Ren, Peilu Zhou, Baoyuan Zhou, Xiangling Li, Xinbing Wang, Junzhu Ge, Zaisong Ding, Ming Zhao, Congfeng Li
Publikováno v:
Agronomy, Vol 13, Iss 4, p 1146 (2023)
Reasonable canopy structure and leaf physiological characteristics are considered as important factors for improving canopy nitrogen (N) distribution by matching the available light resources and thus increasing the grain yield of maize (Zea mays L.)
Externí odkaz:
https://doaj.org/article/65165f21ab934e949ba64c347b14f010
Publikováno v:
PLoS ONE, Vol 17, Iss 9, p e0275192 (2022)
The rapid development of modern science nowadays makes it rather challenging to pick out valuable ideas from massive scientific literature. Existing widely-adopted citation-based metrics are not adequate for measuring how well the idea presented by a
Externí odkaz:
https://doaj.org/article/c0417f4b48d44c0e9146093c80efc85a