Zobrazeno 1 - 10
of 6 658
pro vyhledávání: '"Song JI"'
Autor:
Pengju Li, Yiming Tang, Qinsong Zeng, Chengqiang Mo, Nur Ali, Baohua Bai, Song Ji, Yubing Zhang, Junhang Luo, Hui Liang, Rongpei Wu
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e30956- (2024)
Objective: This study aims to investigate the predictive performance of machine learning in predicting the occurrence of systemic inflammatory response syndrome (SIRS) and urosepsis after percutaneous nephrolithotomy (PCNL). Methods: A retrospective
Externí odkaz:
https://doaj.org/article/184b470c03244dd28b10846549cb2844
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
AbstractRapid urbanization currently poses a threat to cropland areas. Therefore, exploring the pattern of change in cropland areas and its driving mechanism is of great significance in safeguarding regional economic development and food security. In
Externí odkaz:
https://doaj.org/article/fc77a6b0f35f4e20a086af20b850662f
Publikováno v:
IET Image Processing, Vol 17, Iss 9, Pp 2698-2709 (2023)
Abstract Point cloud registration is of great significance to the reconstruction of high‐precision 3D city models. There are some challenges when aligning aerial and close‐range photogrammetric point clouds, such as huge view differences caused b
Externí odkaz:
https://doaj.org/article/dc78ad13673b4c1a9bb5af2f5b78c3e2
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 3, p 62 (2024)
Accurate building geometry information is crucial for urban planning in constrained spaces, fueling the growing demand for large-scale, high-precision 3D city modeling. Traditional methods like oblique photogrammetry and LiDAR prove time consuming an
Externí odkaz:
https://doaj.org/article/a982311581d149799b2828c151c2f86a
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:
Remote Sensing, Vol 16, Iss 2, p 431 (2024)
Synthetic aperture radar (SAR) and optical images provide highly complementary ground information. The fusion of SAR and optical data can significantly enhance semantic segmentation inference results. However, the fusion methods for multimodal data r
Externí odkaz:
https://doaj.org/article/bd2c4a33ceea4eea9cbbe363b4f38c70
Publikováno v:
Sensors, Vol 23, Iss 21, p 8752 (2023)
Laser altimetry data from the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) contain a lot of noise, which necessitates the requirement for a signal photon extraction method. In this study, we propose a density clustering method, which combine
Externí odkaz:
https://doaj.org/article/6ebbb26f397a4d489cb250828eb31c9b
Publikováno v:
Applied Sciences, Vol 13, Iss 16, p 9402 (2023)
Sea ice extraction and segmentation of remote sensing images is the basis for sea ice monitoring. Traditional image segmentation methods rely on manual sampling and require complex feature extraction. Deep-learning-based semantic segmentation methods
Externí odkaz:
https://doaj.org/article/50fdd993dd7a43b7b2125ce697d0e8b5
Recently, several pulsar timing array (PTA) projects have detected evidence of the existence of a stochastic gravitational wave background (SGWB) in the nanohertz frequency band, providing confidence in detecting individual supermassive black hole bi
Externí odkaz:
http://arxiv.org/abs/2408.00609
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 4, p 150 (2023)
In the field of geoinformation science, multiview, image-based 3D city modeling has developed rapidly, and image depth estimation is an important step in it. To address the problems of the poor adaptability of training models of existing neural netwo
Externí odkaz:
https://doaj.org/article/3302892053df41588f943d4cfdde73be