Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Xianbin ZHENG"'
Autor:
Bingxiang Li, Xianbin Zheng, SeHyun Kim, Xuhao Wang, Fuhao Jiang, Rong Li, Sang Woo Joo, Chenhao Cong, Xinlin Li
Publikováno v:
Science and Technology of Advanced Materials, Vol 25, Iss 1 (2024)
ABSTRACT The rapid advancement in intelligent bionics has elevated electronic skin to a pivotal component in bionic robots, enabling swift responses to diverse external stimuli. Combining wearable touch sensors with IoT technology lays the groundwork
Externí odkaz:
https://doaj.org/article/d76c5322a8514407a35b7be71f05a0af
Autor:
Xianbin ZHENG
Publikováno v:
You-qi chuyun, Vol 40, Iss 10, Pp 1115-1123 (2021)
The technological revolution in oil and gas industry, characterized by digitalization and intellectualization, is promoting the reform of Health, Safety and Environment (HSE) management mode in oil and gas enterprises, which will greatly reduce the o
Externí odkaz:
https://doaj.org/article/facabef0af4c468a90af50292404aec4
Autor:
Han Zhang, Qingshan Feng, Bingchuan Yan, Xianbin Zheng, Yue Yang, Jian Chen, Hong Zhang, Xiaoben Liu
Publikováno v:
Energies, Vol 16, Iss 8, p 3439 (2023)
In recent years, the safety of oil and gas pipelines has become a primary concern for the pipeline industry. This paper presents a comprehensive study of the vulnerability concepts that may be used to measure the safety status of pipeline systems. Th
Externí odkaz:
https://doaj.org/article/841cb59596464831bb6e744c2abb66e3
Autor:
Xianbin Zheng, Tian He
Publikováno v:
Sensors, Vol 23, Iss 7, p 3510 (2023)
Deep learning-based target detectors are in demand for a wide range of applications, often in areas such as robotics and the automotive industry. The high computational requirements of deep learning severely limit its ability to be deployed on resour
Externí odkaz:
https://doaj.org/article/10449343d8c34c2dba277b3f6671a9e9
Autor:
Weichao Yu, Xianbin Zheng, Weihe Huang, Qingwen Cai, Jie Guo, Jili Xu, Yang Liu, Jing Gong, Hong Yang
Publikováno v:
Energies, Vol 15, Iss 10, p 3557 (2022)
In this study, a data-driven methodology for the reliability analysis of natural gas compressor units is developed, and both the historical failure data and performance data are employed. In this methodology, firstly, the reliability functions of the
Externí odkaz:
https://doaj.org/article/3a4291e604a6427f917d269c6747261e
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11780 (2021)
Crack defects in the girth welds of pipelines have become an important factor affecting the safe operation of in-service oil pipelines. Therefore, it is necessary to analyze the factors affecting the safe operation of pipelines and determine the ulti
Externí odkaz:
https://doaj.org/article/a5c6b904e8d9449b95a7c6cc35b6e3aa
Publikováno v:
Measurement Science and Technology.
Aiming at the problem that gear vibration signals are susceptible to noise and the difficulty of extracting fault features, this paper proposes a new noise reduction method based on re-weighted group sparse decomposition (RWGSD). RWGSD introduces gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c71b3dfd52375587a6294eca62850a2
https://doi.org/10.1088/1361-6501/acd94d
https://doi.org/10.1088/1361-6501/acd94d
Autor:
Weichao Yu, Xianbin Zheng, Feng Wen, Lin Li, Yuanzhi Yue, Feng Shi, Hong Yang, Yang Liu, Xiaoben Liu
Publikováno v:
Journal of Pipeline Systems Engineering and Practice. 14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7276d7c321de7ad28417af2a1f242851
https://doi.org/10.1061/jpsea2.pseng-1366
https://doi.org/10.1061/jpsea2.pseng-1366
Screening and bioinformatical analysis of differentially expressed genes in nasopharyngeal carcinoma
Autor:
Jin Gao, Bin Sun, Yangyang Zhang, Zhenchao Tao, Lei Hua, Weiqian Guo, Xianbin Zheng, Xiaomin Zheng
Publikováno v:
Journal of Cancer
Objective: To identify differentially expressed genes via bioinformatical analysis for nasopharyngeal carcinoma (NPC) and explore potential biomarkers for NPC. Methods: We downloaded the NPC gene expression datasets (GSE40290, GSE53819) and obtained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42cb9d4bb611288e13c7cca681f1f2f8
https://doi.org/10.7150/jca.48979
https://doi.org/10.7150/jca.48979