Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yuebo Meng"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 519-534 (2024)
The extraction of buildings in aerial remote sensing applications is an important and challenging task. Most existing methods extract buildings based on local area attention, ignoring the loss of accuracy due to the global structure of the building.
Externí odkaz:
https://doaj.org/article/1397bf990cdf4b9a877cbdc668919f67
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 3, Pp 102009- (2024)
Automatic road extraction from satellite images is a popular research hotspot topic in the field of remote sensing. However, the complexity of road features and structures hinders their precise extraction. Road features have different saliency due to
Externí odkaz:
https://doaj.org/article/7a51485faa3746bf964e498cb67d66b1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9033-9047 (2022)
Aimed at the challenge of low accuracy of building segmentation caused by poor continuity of remote-sensing-image regions and blurred boundaries, a remote sensing building semantics segmentation algorithm based on multiscale regional consistent atten
Externí odkaz:
https://doaj.org/article/3b8e7a1dc4774ca9881536044d9f18f7
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7978 (2023)
Thermal discomfort body language has been shown to be a psychological representation of personnel’s particular thermal comfort. Individual thermal comfort differences are ignored in public building settings with random personnel flow. To solve this
Externí odkaz:
https://doaj.org/article/12d3ecff66c3402a8a18c3902b9ee32f
Publikováno v:
Applied Sciences; Volume 13; Issue 13; Pages: 7978
Thermal discomfort body language has been shown to be a psychological representation of personnel’s particular thermal comfort. Individual thermal comfort differences are ignored in public building settings with random personnel flow. To solve this
Autor:
Kun Huang, Qianjin Feng, Zhi Han, Anil Parwani, Yuebo Meng, Xiufen Ye, Xusheng Wang, Yatong Han, Jie Zhang, Jun Cheng
This file contains: Methods. 1) Aggregation of cell-level features into patient-level features. 2)Training and prediction process of lasso-Cox model. Table S1. The 15 co-expressed gene modules generated by gene co-expression network analysis. Table S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27121233d2cbd2b2fa32b4a242b4b0ae
https://doi.org/10.1158/0008-5472.22418546
https://doi.org/10.1158/0008-5472.22418546
Autor:
Kun Huang, Qianjin Feng, Zhi Han, Anil Parwani, Yuebo Meng, Xiufen Ye, Xusheng Wang, Yatong Han, Jie Zhang, Jun Cheng
In cancer, both histopathologic images and genomic signatures are used for diagnosis, prognosis, and subtyping. However, combining histopathologic images with genomic data for predicting prognosis, as well as the relationships between them, has rarel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ee68c9f9536ce1eed39f40ec29e47e3
https://doi.org/10.1158/0008-5472.c.6510158
https://doi.org/10.1158/0008-5472.c.6510158
Publikováno v:
Structural Control and Health Monitoring. 29
Autor:
Yatong Han, Yuebo Meng, Xiufen Ye, Jun Cheng, Kun Huang, Zhi Han, Qianjin Feng, Anil V. Parwani, Xusheng Wang, Jie Zhang
Publikováno v:
Cancer Res
In cancer, both histopathologic images and genomic signatures are used for diagnosis, prognosis, and subtyping. However, combining histopathologic images with genomic data for predicting prognosis, as well as the relationships between them, has rarel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b250ed58cf8c9e49c4d89d120538c75b
https://europepmc.org/articles/PMC7262576/
https://europepmc.org/articles/PMC7262576/
Autor:
Guanghui Liu, Yuebo Meng
Publikováno v:
2008 4th International Conference on Wireless Communications, Networking & Mobile Computing; 2008, p1-3, 3p