Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Huiping Jiang"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 5, Pp 1622-1637 (2024)
Pattern recognition is critical to map data handling and their applications. This study presents a model that combines the Shape Context (SC) descriptor and Graph Convolutional Neural Network (GCNN) to classify the patterns of interchanges, which are
Externí odkaz:
https://doaj.org/article/c26b60d8c5c544718f230a10c5f7ce9c
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 17, Pp n/a-n/a (2024)
Abstract Decadal variations in near‐surface wind speed (NSWS) and their causes are poorly understood. We found that the decadal transition of winter NSWS in northern China (NC) was 10 years earlier than in southern China (SC), which could be linked
Externí odkaz:
https://doaj.org/article/ad22bb480a7942c793ed3e97c1b6a0b6
Autor:
Sijia Li, Zhongchang Sun, Huadong Guo, Xiaoying Ouyang, Zongqiang Liu, Huiping Jiang, Hongwei Li
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTDue to the Sustainable Development Goals (SDGs) being designed at both national and globally applicable level, it is challenging to adequately reflect the local context and characteristics in different urban regions without fully utilizing bi
Externí odkaz:
https://doaj.org/article/cc11cfc7919f432691f1f37fad1f0b9c
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Tomatoes, widely cherished for their high nutritional value, necessitate precise ripeness identification and selective harvesting of mature fruits to significantly enhance the efficiency and economic benefits of tomato harvesting management. Previous
Externí odkaz:
https://doaj.org/article/9bc2e7e59b7d4d7ab55a6c069cff22e3
Autor:
Hangfeng Qiao, Huiping Jiang, Gang Yang, Faming Jing, Weiwei Sun, Chenyang Lu, Xiangchao Meng
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10583-10599 (2024)
Urban functional zones (UFZ) identification with remote sensing imagery (RSI) is attracting increasing attention in urban planning and resource allocation in urban areas, etc. The UFZ is a comprehensive unit comprising geographical, how to effectivel
Externí odkaz:
https://doaj.org/article/a9ef8eb02a8947b99a01fbe21fcabb09
Publikováno v:
Drones, Vol 8, Iss 10, p 523 (2024)
To address the challenge of low detection accuracy and slow detection speed in unmanned aerial vehicle (UAV) aerial images target detection tasks, caused by factors such as complex ground environments, varying UAV flight altitudes and angles, and cha
Externí odkaz:
https://doaj.org/article/c7734c6a116f470893c0e5358f64fe53
Autor:
Jinlin Zha, Ting Chuan, Jian Wu, Deming Zhao, Meng Luo, Jinming Feng, Wenxuan Fan, Cheng Shen, Huiping Jiang
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 7, Pp n/a-n/a (2024)
Abstract Near‐surface wind speed (NSWS) over China shows multiple time‐scale changes at a centennial scale, but the contributions of internal variability (IV), anthropogenic forcing (ANT), and natural forcing (NAT) to those changes remain unknown
Externí odkaz:
https://doaj.org/article/660d568456734ad3a73d56284e69194e
Publikováno v:
Nursing Open, Vol 10, Iss 11, Pp 7255-7265 (2023)
Abstract Aims The aim of the study was to explore the experiences of female new nurse managers during the COVID‐19 pandemic. Design This was a phenomenological study, and qualitative descriptive analysis was used. Methods New nurse managers were de
Externí odkaz:
https://doaj.org/article/35025dbc224d4ad8b624dde735448e4c
PHSI-RTDETR: A Lightweight Infrared Small Target Detection Algorithm Based on UAV Aerial Photography
Publikováno v:
Drones, Vol 8, Iss 6, p 240 (2024)
To address the issues of low model accuracy caused by complex ground environments and uneven target scales and high computational complexity in unmanned aerial vehicle (UAV) aerial infrared image target detection, this study proposes a lightweight UA
Externí odkaz:
https://doaj.org/article/b2e4da3503d34a0c95e048cfbbe4d761
Autor:
Bijun Mao, Huiping Jiang, Yan Chen, Chunsheng Wang, Luping Liu, Huifeng Gu, Ya Shen, Peihong Zhou
Publikováno v:
PLoS ONE, Vol 19, Iss 9, p e0305735 (2024)
ObjectiveThis study aims to examine the validity of the MFS by analyzing the electronic medical records on fall risk in obstetrics and gynecology wards and determine the optimal cut-off score of the Morse Fall Scale.DesignA retrospective survey.Metho
Externí odkaz:
https://doaj.org/article/ae03ec4550a14db2a6f09426063ca0cf