Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Yiyong Yao"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Lung adenocarcinoma (LUAD) is the most common lung cancer, accounting for 19.4% of all cancer deaths. Our previous study discovered that INTS7 expression was upregulated in LUAD, while the precise mechanism by which INTS7 exerts pro-cancer e
Externí odkaz:
https://doaj.org/article/86627173ffe14ea6b0f33335c410dcd0
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 10 (2014)
To monitor the dynamic changes of process quality and reduce the quality fluctuation in machining process, a process quality control method based on coupling machining sensor network (CMSN) is proposed to improve product quality. The advantage of CMS
Externí odkaz:
https://doaj.org/article/d7f68afc83e5449da87bb24b2e489d2d
Publikováno v:
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57c3fc0bc86fdbc7b22063b7ea55e85b
https://doi.org/10.1109/case49997.2022.9926524
https://doi.org/10.1109/case49997.2022.9926524
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 235:832-840
Failure time prognosis in manufacturing process plays a crucial role in guaranteeing manufacturing safety and reducing maintenance loss. However, most current prognosis methods face great difficulty when handling massive data collected from manufactu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45a6f82edf0b5e11eca6f7a8b177fd78
https://doi.org/10.1177/0954408920974141
https://doi.org/10.1177/0954408920974141
Publikováno v:
2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).
At present, the evaluation of dispensing quality is mainly manual. It has the shortcomings of strong subjectivity, low efficiency, low level of intelligence and inability to evaluate online. In this paper, an online intelligent evaluation method for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46a9b6e272edd5fbfa7f45d375955000
https://doi.org/10.1109/icsmd50554.2020.9261725
https://doi.org/10.1109/icsmd50554.2020.9261725
Publikováno v:
2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC).
A large amount of operation data will be generated in the working process of mechanical equipment. These data contain the quality status of the equipment. The quality status of the equipment group can be calculated by establishing a model to analyze
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143fd533929e9cb95441b0f311f45aa1
https://doi.org/10.1109/itoec49072.2020.9141876
https://doi.org/10.1109/itoec49072.2020.9141876
Supplemental material, sj-pdf-1-pie-10.1177_0954408920974141 for Failure time prognosis in manufacturing process using multi-dislocated time series convolutional neural network by Bohao Li, Liping Zhao and Yiyong Yao in Proceedings of the Institution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2335d1f7c501d0af737dc0128bde321
Publikováno v:
Assembly Automation. 38:387-397
Purpose The assembly sequence in the product assembly process has effect on the final product quality. To solve the assembly sequence optimization problem, such as rotor blade assembly sequence optimization, this paper proposes a small world networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1584bdb88f27ab2b2acf85d128cfe38d
https://doi.org/10.1108/aa-04-2017-049
https://doi.org/10.1108/aa-04-2017-049
Autor:
Andrew Soh, Yijie Zheng, Jie Guan, Agim Beshiri, Xun Li, Qiang Du, Chun Huang, Liyu Wang, Zhiyan Li, Wei Zhang, Huiling Wang, Qinghao Liu, Yiyong Yao, Cunling Yan, San-Gang Wu, Qunji Zhang, Qi Wang, Y. Hou
Publikováno v:
Cancer Letters. 420:236-241
This study aimed to build a valid diagnostic nomogram for assessing the cancer risk of the pulmonary lesions identified by chest CT.A total of 691 patients with pulmonary lesions were recruited from three centers in China. The cut-off value for each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d546f95a682f8c07ac5e148047ae813
https://doi.org/10.1016/j.canlet.2018.01.079
https://doi.org/10.1016/j.canlet.2018.01.079
Publikováno v:
Journal of Interdisciplinary Mathematics. 21:717-728
This paper proposes an integrated computational intelligence model called PANK for financial time series prediction. A PANK model consists of three parts: 1) Principal Component Analysis (PCA) for reducing redundancy information, 2) Affinity Propagat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e7696303fe2d42ec8b61a138cd5b09e
https://doi.org/10.1080/09720502.2018.1456825
https://doi.org/10.1080/09720502.2018.1456825