Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Zhaoxian Liu"'
Publikováno v:
Metals, Vol 14, Iss 10, p 1162 (2024)
In this paper, the influence mechanism of ultrasound on plastic flow and microstructure features of the aluminum–copper friction stir lap welding (Al/Cu-FSLW) process is systematically investigated by adjusting the welding speed and improving the s
Externí odkaz:
https://doaj.org/article/f4ad80c1396c437aae99e84a3fe4b2ac
Publikováno v:
Journal of Materials Research and Technology, Vol 24, Iss , Pp 8635-8643 (2023)
The joining of aluminum alloy and Ti–Ni–Hf shape memory dissimilar metals was realized by cold metal transfer (CMT) welding-brazing with an Al-based filler for the first time. The relationship between heat input, microstructures, and joint streng
Externí odkaz:
https://doaj.org/article/a247c36148dc41eea68c49b8b17a5b58
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103456- (2023)
Recently, the deep learning algorithms have been increasingly utilized in remote sensing change detection. However, incomplete buildings and the blurred edges caused by the complex scenes in change detection applications make the detection results fa
Externí odkaz:
https://doaj.org/article/4eb041cf40ff4b90b6be2ae012dc544f
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 118, Iss , Pp 103250- (2023)
Spectral techniques play a key role in the estimation of large-scale soil parameters, but most of the current estimation models are data-driven models lacking a physical basis. Therefore, in this study, we developed a novel radiative transfer model n
Externí odkaz:
https://doaj.org/article/72cc74b0506a4bdfb574dcf750246f7a
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 112, Iss , Pp 102950- (2022)
Deep learning based change detection has brought a significant improvement in the accuracy and efficiency when compared with conventional machine learning methods. However, the issues of the lack of differential information and the diversity of the s
Externí odkaz:
https://doaj.org/article/b101c10ea57b4246af2930724ec72918
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 127 (2022)
It has been widely certified that hyperspectral images can be effectively used to monitor soil organic matter (SOM). Though numerous bands reveal more details in spectral features, information redundancy and noise interference also come accordingly.
Externí odkaz:
https://doaj.org/article/a9ab8737903647efa0d077502077ff15
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1488dcd23a7ec693a485be1d5296d62
https://doi.org/10.1109/lgrs.2022.3186493
https://doi.org/10.1109/lgrs.2022.3186493
Publikováno v:
Materials Today Communications. 35:106215
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcf9ba457cf633d592fe2dcc2f0c6408
https://doi.org/10.1016/j.mtcomm.2023.106215
https://doi.org/10.1016/j.mtcomm.2023.106215
Publikováno v:
Journal of Applied Remote Sensing. 15
Soil is one of the essential natural resources that is at risk from heavy metal pollution. The traditional sampling method for soil heavy metal monitoring and assessment cannot meet the requirements for large-scale areas. The purpose of this study wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dae3a2e58a50b3a0e6a483bacb15b719
https://doi.org/10.1117/1.jrs.15.042613
https://doi.org/10.1117/1.jrs.15.042613