Zobrazeno 1 - 10
of 4 707
pro vyhledávání: '"MULTISOURCE"'
Autor:
Tongyan Zhang, Yan Li, Qian Du, Yanyan Ren, Wei Mu, Yujie Duan, Xin Yang, Hailong Ran, Jiao Li
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background The ability to teach, as a core competency, has always suffered from a lack of systematic cultivation. Objective This study aimed to explore the difference in teaching quality before and after the application of the UTOP (UTeach o
Externí odkaz:
https://doaj.org/article/7f15b02a47ec4c408f58e0ce06e777a8
Autor:
Zheng Wang, Yang Xue, Zirou Liu, Chong Wang, Kaifen Xiong, Kaibin Lin, Jiarui Ou, Jianglin Zhang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Vitiligo is a skin disorder that is associated with a decreased risk of skin cancer, but it can lead to increased susceptibility to sunburn, psychological distress, and disruptions in daily life, consists of two primary subtypes: segmental a
Externí odkaz:
https://doaj.org/article/8c1e2593f0904bc39b8f3df3c62f1047
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1085-1097 (2025)
The joint classification of multisource remote sensing data has shown significant potential in the precise interpretation of land cover. Existing methods mainly employ a dual-stream architecture to independently extract features, subsequently merging
Externí odkaz:
https://doaj.org/article/92ffeee43b2044c4996531cebbbe9abc
Autor:
Hilton Rudnick, Neville Goldin
Publikováno v:
International Journal of Evidence Based Coaching and Mentoring, Vol 22, Iss 2, Pp 207-219 (2024)
The ubiquitous proliferation of coaching requires practical mechanisms to measure efficacy at an individual intervention level. While several meta-analyses have generally demonstrated positive outcomes, these speak to the overall profession rather th
Externí odkaz:
https://doaj.org/article/32e8a444133d48db960556a07814b3f8
Publikováno v:
Leida xuebao, Vol 13, Iss 4, Pp 885-903 (2024)
In ship detection through remote sensing images, optical images often provide rich details and texture information; however, the quality of such optical images can be affected by cloud and fog interferences. In contrast, Synthetic Aperture Radar (SAR
Externí odkaz:
https://doaj.org/article/8c34476ca26e4f05ad94d65f9ecbba9c
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 7, Pp 1193-1204 (2024)
AIM: To address the challenges of data labeling difficulties, data privacy, and necessary large amount of labeled data for deep learning methods in diabetic retinopathy (DR) identification, the aim of this study is to develop a source-free domain ada
Externí odkaz:
https://doaj.org/article/f3915f9c74ca46018587032a28bb4265
Autor:
Yao Yao, Jianfeng Zhou, Zhenhui Sun, Qingfeng Guan, Zhiqiang Guo, Yin Xu, Jinbao Zhang, Ye Hong, Yuyang Cai, Ruoyu Wang
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 4, Pp 1000-1016 (2024)
Poverty threatens human development especially for developing countries, so ending poverty has become one of the most important United Nations Sustainable Development Goals (SDGs). This study aims to explore China’s progress in poverty reduction fr
Externí odkaz:
https://doaj.org/article/2fea3f9a168e4d0c9c7c2f48acd7f862
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102824- (2024)
The spatial distribution of urban agglomerations is an essential component of urban agglomeration development planning. To obtain information regarding the expansion of urban agglomerations over large spatiotemporal scales and long periods, this rese
Externí odkaz:
https://doaj.org/article/d74ea06063d746a3942e69e5a2f86326
Autor:
Verônica Madeira Pacheco, Tami M. Brown-Brandl, Rafael Vieira de Sousa, Gary A. Rohrer, Sudhendu Raj Sharma, Luciane Silva Martello
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100563- (2024)
Assessing sow posture is essential for understanding their physiological condition and helping farmers improve herd productivity. Deep learning-based techniques have proven effective for image interpretation, offering a better alternative to traditio
Externí odkaz:
https://doaj.org/article/d5560431dbb441d3b6d4fcacaef62405
Autor:
ALENE Endalew Terefe, Yuting Hou
Publikováno v:
City and Environment Interactions, Vol 24, Iss , Pp 100159- (2024)
The accessibility and utilization of Urban Green Spaces (UGSs) play a crucial role in enhancing the health benefits and overall quality of life for urban residents. However, it is evident that not just a single factor, but rather a multitude of facto
Externí odkaz:
https://doaj.org/article/22bc25abd48f47d8a62801df02dacfc5