Zobrazeno 1 - 10
of 119
pro vyhledávání: '"XinGuang Li"'
Autor:
Sancheng Peng, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Aimin Yang, Xinguang Li, Weijia Jia, Shui Yu
Publikováno v:
Digital Communications and Networks, Vol 8, Iss 5, Pp 745-762 (2022)
Textual Emotion Analysis (TEA) aims to extract and analyze user emotional states in texts. Various Deep Learning (DL) methods have developed rapidly, and they have proven to be successful in many fields such as audio, image, and natural language proc
Externí odkaz:
https://doaj.org/article/b3a6ca92e3f84ff4b07d916e36da5752
Publikováno v:
Ecological Indicators, Vol 146, Iss , Pp 109849- (2023)
Optimizing urban passenger transportation structure is an effective way to promote the low-carbon development of cities. Effective evaluation is an important basis for optimization. To improve the validity of the evaluation, a dual-criteria layer eva
Externí odkaz:
https://doaj.org/article/5ae4c2d9cb29450c9790ca230593a1d1
Publikováno v:
IEEE Access, Vol 9, Pp 90702-90714 (2021)
Aiming at the problem that the quality of measurement information directly affects the performance of cooperative localization of multiple autonomous underwater vehicles (multi-AUV), a design method for the optimal formation configuration of multi-AU
Externí odkaz:
https://doaj.org/article/5ae3d1155402442689a67ccb29e3fdb5
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 19 (2022)
The horizontal thrusters located as X shape is a commonly used configuration in remotely operated underwater vehicle (ROV). To improve the motion performance of the remotely operated underwater vehicle with this configuration for some typical operati
Externí odkaz:
https://doaj.org/article/86f5e23cd1234d4587297d4fba767ef9
Publikováno v:
Journal of Advanced Transportation, Vol 2022 (2022)
The operation of metro trains with a focus on energy savings can effectively reduce operating costs and carbon emissions. Reducing traction energy consumption and increasing the utilization efficiency of regenerative braking energy are two important
Externí odkaz:
https://doaj.org/article/5985940805a14a7aa8f426d593aa3014
Autor:
Qianjin Chen, Shuiming Wang, Pengfei Li, Xinguang Li, Jianhua Liu, Dewu Hu, Zhigang Zhao, Xiaoshuang Xiong
Publikováno v:
World Electric Vehicle Journal, Vol 13, Iss 2, p 41 (2022)
The main purpose of this paper is to analyze the influence of different types of alignment errors on the meshing performance of loaded straight bevel gears. Based on 3D finite element models of the specific loaded assembling straight bevel gear pair,
Externí odkaz:
https://doaj.org/article/d47f37896f3c45d79e40914c5538f913
Publikováno v:
Sensors, Vol 18, Iss 8, p 2487 (2018)
In recent years, energy-efficient data collection has evolved into the core problem in the resource-constrained Wireless Sensor Networks (WSNs). Different from existing data collection models in WSNs, we propose a collaborative data collection scheme
Externí odkaz:
https://doaj.org/article/11b7b562caa04998a046b7ddedfe8007
Publikováno v:
Measurement + Control, Vol 42 (2009)
Dust concentration and turbulence measurements are basic and important measurements in process industry for dust explosion prevention and protection. In this paper' principles of measurement, measured data of dust concentration and flow field from la
Externí odkaz:
https://doaj.org/article/7048c05805f24c088235c1ac849d88f4
Autor:
Xueyan Du, Xiaozhe Yang, Han Wang, Xinguang Li, Murong Wang, Xiang Li, Ye Tao, Yaxing Yang, Xinqiang Tan, Feng Ren, Ping-Xin Zhou, Yong-Min Liang
Publikováno v:
Organic Chemistry Frontiers. 10:898-904
A palladium/norbornene-catalyzed ortho-amination/allylation of aryl iodides was developed for the construction of ortho-aminated allylbenzene by using N-benzoyloxyamine as the amination reagent and homoallyl alcohol as the allylation reagent.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc8efa25a1d4c607c101b4af003b8dad
https://doi.org/10.1039/d2qo01609e
https://doi.org/10.1039/d2qo01609e
Autor:
Zhouhao Ouyang, Lihong Cao, Aimin Yang, Xinguang Li, Weijia Jia, Sancheng Peng, Yongmei Zhou, Shui Yu
Publikováno v:
Digital Communications and Networks. 8:745-762
Textual Emotion Analysis (TEA) aims to extract and analyze user emotional states in texts. There has been rapid development of various Deep Learning (DL) methods that have proven successful in many domains such as audio, image, and natural language p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc18430f2559cfa46dd217e406a1ff32
https://doi.org/10.1016/j.dcan.2021.10.003
https://doi.org/10.1016/j.dcan.2021.10.003