Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhouxiang Yu"'
Hybrid GRU–Random Forest Model for Accurate Atmospheric Duct Detection with Incomplete Sounding Data
Autor:
Yi Yan, Linjing Guo, Jiangting Li, Zhouxiang Yu, Shuji Sun, Tong Xu, Haisheng Zhao, Lixin Guo
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4308 (2024)
Atmospheric data forecasting traditionally relies on physical models, which simulate atmospheric motion and change by solving atmospheric dynamics, thermodynamics, and radiative transfer processes. However, numerical models often involve significant
Externí odkaz:
https://doaj.org/article/bfdc677fe53c49c0b103cd07b83b9e13
Publikováno v:
Materials; Volume 15; Issue 24; Pages: 8963
Linear friction welding (LFW) is a kind of advanced manufacturing technology and used mainly in the manufacturing of aircraft engine bladed disks (blisks) currently. However, the residual stress evolution of TC17 titanium alloy during LFW is complex
Autor:
Guijie Zhu, Meijuan Li, Xiaolong Liu, Gengfang Tian, Yuqing Li, Kai Sun, Yuntao Liu, Dongfeng Chen, Zhouxiang Yu, Yuhan Hou, Ruoyu Bai
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 1047:167729
Publikováno v:
Science in China Series E: Technological Sciences. 51:25-32
A novel class of solid solutions of Y2−x Sm x W3O12 (x = 0.0−0.4) were synthesized and studied by means of powder X-ray diffraction. All samples crystallize in an orthorhombic space group Pnca. The lattice parameters a, b and c of Y2−x Sm x W3O
Publikováno v:
Rare Metals. 26:426-434
A new series of rare earth compounds, Y2-xErxMo4O15 (x = 0.0–2.0), were synthesized and their structures were determined by powder X-ray diffraction (XRD). Rietveld analysis of XRD patterns reveals that the compounds of this series crystallize in m
Publikováno v:
Biomimetics, Vol 8, Iss 2, p 243 (2023)
To improve the identification accuracy of the vibration states of hydraulic units, an improved artificial rabbits optimization algorithm (IARO) adopting an adaptive weight adjustment strategy is developed for optimizing the support vector machine (SV
Externí odkaz:
https://doaj.org/article/45f0dcdc4c45484cba8cbb5e064ac36c