Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Chunping, Qiu"'
In this study, we present a large-scale earth surface reconstruction pipeline for linear-array charge-coupled device (CCD) satellite imagery. While mainstream satellite image-based reconstruction approaches perform exceptionally well, the rational fu
Externí odkaz:
http://arxiv.org/abs/2310.20117
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104164- (2024)
Automatic 3D reconstruction from spaceborne charge-coupled device (CCD) optical imagery is still a challenge as the rational functional model (RFM) based reconstruction pipeline failed to amount to the advances of pinhole based approaches in computer
Externí odkaz:
https://doaj.org/article/6618e0bae01a49e0974e29b14de2b9f8
Autor:
Dali Wang, Xiaochong Tong, Chenguang Dai, Congzhou Guo, Yi Lei, Chunping Qiu, He Li, Yuekun Sun
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 868-890 (2023)
The ubiquitous spatiotemporal information extracted from Internet texts limits its application in spatiotemporal association and analysis due to its unstructured nature and uncertainty. This study uses ST-Voxel modeling to solve the problem of struct
Externí odkaz:
https://doaj.org/article/01662b30197a47f2b0b955e38724e537
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTDeep learning instantiated by convolutional neural networks has achieved great success in high-resolution remote-sensing image change detection. However, such networks have a limited receptive field, being unable to extract long-range depende
Externí odkaz:
https://doaj.org/article/0593218fc38548b5b16f937417683ed7
Autor:
Lina Wei, Xiaohong Ma, Yixin Hou, Tianyi Zhao, Rui Sun, Chunping Qiu, Yao Liu, Ziyi Qiu, Zhiming Liu, Jie Jiang
Publikováno v:
Cell Death Discovery, Vol 9, Iss 1, Pp 1-13 (2023)
Abstract Progestin resistance is a problem for patients with endometrial carcinoma (EC) who require conservative treatment with progestin, and its underlying mechanisms remain unclear. YAP and TAZ (YAP/TAZ), downstream transcription coactivators of H
Externí odkaz:
https://doaj.org/article/ac588096690744ccaffb1c3dab20a3ff
Publikováno v:
Cell Death and Disease, Vol 13, Iss 12, Pp 1-19 (2022)
Abstract Endometrial cancer is a common gynecological malignancy. With the onset of EC patients younger, conservative treatment with progesterone has become an important option for patients trying to preserve reproductive function. However, progester
Externí odkaz:
https://doaj.org/article/3043b223f2634fa6a85511515571a757
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 123, Iss , Pp 103447- (2023)
Few-shot learning is an important and challenging research topic for remote sensing image scene classification. Many existing approaches address this challenge by using meta-learning and metric-learning techniques, which aim to develop feature extrac
Externí odkaz:
https://doaj.org/article/52271524ca4a47d9835274f9e87321ee
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 842 (2024)
Deep learning, which is a dominating technique in artificial intelligence, has completely changed image understanding over the past decade. As a consequence, the sea ice extraction (SIE) problem has reached a new era. We present a comprehensive revie
Externí odkaz:
https://doaj.org/article/89e0b2fadb26494588c821397c26b169
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 118, Iss , Pp 103298- (2023)
Space-filling curves (SFCs) are commonly used in discrete global grid systems (DGGSs) and applied to efficient indices and queries of massive geospatial data. Although Hilbert curves have the best locality preservation and clustering properties among
Externí odkaz:
https://doaj.org/article/9589593bdad04e6da1706cd735dc3732
Autor:
Fangfang Li, Chen Zhao, Yuchao Diao, Zixiang Wang, Jiali Peng, Ning Yang, Chunping Qiu, Beihua Kong, Yingwei Li
Publikováno v:
Cell Death and Disease, Vol 13, Iss 6, Pp 1-13 (2022)
Abstract The latest research shows that RNA-binding proteins (RBPs) could serve as novel potential targets for cancer therapy. We used bioinformatics analysis to screen and identify the key RBPs in ovarian cancer, from which we found that Mex-3 RNA B
Externí odkaz:
https://doaj.org/article/36451616d017469cb024b46370bbfac6