Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Ruoshan, Lei"'
Publikováno v:
In Journal of Luminescence September 2022 249
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 3181 (2023)
Automated machining feature recognition is an essential component linking computer-aided design (CAD) and computer-aided process planning (CAPP). Deep learning (DL) has recently emerged as a promising method to improve machining feature recognition.
Externí odkaz:
https://doaj.org/article/b3cb0ff4269445eea94b832259beb40b
Publikováno v:
Machines, Vol 10, Iss 12, p 1165 (2022)
Machining feature recognition is a research hotspot in recent years. A point cloud is a geometry data representation format of three-dimensional (3D) models. The use of point cloud-based convolutional neural networks (CNNs) for machining feature reco
Externí odkaz:
https://doaj.org/article/674ea97a63254bbb9e452e6924dc6175
Autor:
Mingdong Hong, Chao Chen, Huanping Wang, Ruoshan Lei, Youjie Hua, Zhiyang Wang, Zhiwei Mo, Shiqing Xu
Publikováno v:
Ceramics International. 49:22547-22554
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c3dff694a08215e2038f06cb3a7104a
https://doi.org/10.1016/j.ceramint.2023.04.090
https://doi.org/10.1016/j.ceramint.2023.04.090
Publikováno v:
In Rare Metal Materials and Engineering September 2018 47(9):2607-2614
Publikováno v:
Journal of Asian Ceramic Societies, Vol 5, Iss 1, Pp 13-17 (2017)
AlN nanofibers were fabricated by carbothermal reduction (CRN) method of hydrothermal precursor fibers using aluminum nitrate, urea, glucose and polyethylene glycol as raw materials. The as-fabricated samples were characterized by TG-DSC, XRD, SEM, E
Externí odkaz:
https://doaj.org/article/f13a34f4713f481a86180f91882dce69
Publikováno v:
Ceramics International. 48:13386-13394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaf01ac9dc5b8d9aa2b2340297b9af5c
https://doi.org/10.1016/j.ceramint.2022.01.220
https://doi.org/10.1016/j.ceramint.2022.01.220
PCBNet: A Lightweight Convolutional Neural Network for Defect Inspection in Surface Mount Technology
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f798eae1ebd3b62ca1ed552aa3c29e0
https://doi.org/10.1109/tim.2022.3193183
https://doi.org/10.1109/tim.2022.3193183
Publikováno v:
Journal of Materials Chemistry C. 10:12413-12421
Luminescence thermometry, an important technique for remote temperature readout, requires the exploitation of new thermometric strategies to improve sensing properties.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ef5e11d736a6808b5d2971da2cba4ee
https://doi.org/10.1039/d2tc02336a
https://doi.org/10.1039/d2tc02336a
Publikováno v:
Ceramics International. 47:32407-32413
As rare earth ion laser materials, any single kind type matrix can not satisfy the development requirements at the present stage, especially in the application of mid-infrared laser, which needs convenient operation, good physical and chemical proper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a877dff9e80a4edac63da65cfa10ee4
https://doi.org/10.1016/j.ceramint.2021.08.140
https://doi.org/10.1016/j.ceramint.2021.08.140