Zobrazeno 1 - 10
of 4 064
pro vyhledávání: '"S.-J. Tang"'
Autor:
Ting-Yu Chen, Chin-Hsuan Chen, David Mikolas, Santosh Chiniwar, Angus Huang, Chung-Huang Lin, Cheng-Maw Cheng, Fumio Komori, Iwao Matsuda, Chung-Yu Mou, Horng-Tay Jeng, Woei Wu Pai, S.-J. Tang
Publikováno v:
Physical Review Research, Vol 6, Iss 4, p 043190 (2024)
The formation of germanene on Ag(111) has been extensively studied and confirmed. However, the nature of the transition stage between the initial Ag_{2}Ge alloy phase at 1/3 monolayer (ML) and the final quasifreestanding phase germanene phase at cove
Externí odkaz:
https://doaj.org/article/06bd526aed38485ba981b3725b333419
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1029-1036 (2023)
Obtaining building instance models directly through photogrammetry and other means results in high polygon counts and structural detail levels. Therefore, it is an important challenge to preserve the features of instant building models and generate l
Externí odkaz:
https://doaj.org/article/61a57a4164ce49bab2336f47c61c5b48
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1081-1087 (2023)
In order to reconstruct high-quality 3D tree models, trunks and crowns could be reconstructed using appropriate methods separately and merged together. During this process, gaps will appear after tree models are spliced, which will affect the models'
Externí odkaz:
https://doaj.org/article/53dde159b57b409383339215275db9de
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1729-1736 (2023)
This paper introduces a novel framework, Tree-GPT, which incorporates Large Language Models (LLMs) into the forestry remote sensing data workflow, thereby enhancing the efficiency of data analysis. Currently, LLMs are unable to extract or comprehend
Externí odkaz:
https://doaj.org/article/b711216680934cff994eaa6efa350bac
Autor:
Wei-Chuan Chen, Chin-Hsuan Chen, Angus Huang, Kaweng Lei, David Mikolas, Ming-kwan Dai, Je-Ming Kuo, Dai-Shien Lin, Cheng-Maw Cheng, H.-T. Jeng, S.-J. Tang
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Using low-energy electron diffraction and angle-resolved photoemission spectroscopy, we investigated the lattice and electronic structures of the Pb(111) surface upon the adsorption of Au atoms at the low temperature T = 40 K. Unlike earlier
Externí odkaz:
https://doaj.org/article/4217445b965f403b8047b8c3d44cd76a
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W2-2022, Pp 305-310 (2022)
Indoor navigation, indoor robotics, and other deep applications of interior space can be realized through semantic segmentation of 3D point clouds. We propose a semantic segmentation method for point clouds that uses geometric features of point cloud
Externí odkaz:
https://doaj.org/article/df6918037e1046d390f06201a4edf8ba
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2022, Pp 73-78 (2022)
With the development of deep learning technology, a large number of indoor spatial applications, such as robotics and indoor navigation, have raised higher data requirements for indoor semantic model. However, creating deep learning classifiers requi
Externí odkaz:
https://doaj.org/article/a24dfe8e843d40cbac8349b00cf18f87
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2022, Pp 129-136 (2022)
RGB-D semantic segmentation algorithm is a key technology for indoor semantic map construction. The traditional RGB-D semantic segmentation network, which always suffer from redundant parameters and modules. In this paper, an improved semantic segmen
Externí odkaz:
https://doaj.org/article/60410b5949754605a2421f242846bdba
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2022, Pp 229-235 (2022)
State-of-the-art point cloud classification methods mostly process raw point clouds, using a single point as the basic unit and calculating point cloud features by searching local neighbors via the k-neighborhood method. Such methods tend to be compu
Externí odkaz:
https://doaj.org/article/5a872e6d82614ed89c90022f9efb1aef
Publikováno v:
BMC Endocrine Disorders, Vol 22, Iss 1, Pp 1-8 (2022)
Abstract Background Metabolic syndrome (MetS) is a complex of interrelated risk factors, including central adiposity, increased blood pressure, hyperglycemia, elevated triglyceride levels and low high-density lipoprotein. Few studies have reported th
Externí odkaz:
https://doaj.org/article/d8c08e2b01c34b56a48f7cc7b6ae9043