Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Lingfei Ma"'
Publikováno v:
NeuroImage, Vol 300, Iss , Pp 120855- (2024)
Few studies have investigated affective flexibility in individuals with high autistic traits. In the present study, we employed affective task-switching paradigm combined with event related potential (ERP) technology to explore affective flexibility
Externí odkaz:
https://doaj.org/article/0984d10aaa15453eadb971fcc0c9db08
Autor:
Xiangda Lei, Haiyan Guan, Lingfei Ma, Jiacheng Liu, Yogntao Yu, Lanying Wang, Zhen Dong, Huan Ni, Jonathan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103970- (2024)
Mobile laser scanning (MLS) point clouds have increasingly been a significant data source for acquiring accurate three-dimensional (3D) semantic information from complex scenes. However, most current point cloud semantic segmentation methods heavily
Externí odkaz:
https://doaj.org/article/5ec932dc32b54f4398301ff599969174
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103938- (2024)
Deep learning, which has exhibited considerable potential and effectiveness in forest resource assessment, is vital for comprehending and managing forest resources and ecosystems. However, extensive assessment of forest resources is highly challengin
Externí odkaz:
https://doaj.org/article/5968eaf74db949c0b1dec1ace70cd59d
Autor:
Zhiyun Zhuang, Zhiyang Zhi, Ting Han, Yiping Chen, Jun Chen, Cheng Wang, Ming Cheng, Xinchang Zhang, Nannan Qin, Lingfei Ma
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5691-5711 (2024)
Point cloud completion is able to estimate the complete point cloud starting from the missing point cloud, which obtains higher quality point cloud data for widely used in remote sensing 3-D modeling, medical imaging, robot vision, etc. The challenge
Externí odkaz:
https://doaj.org/article/75fd8275af9d4d10866ce51540da9321
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103815- (2024)
Remote sensing reflectance (Rrs) is an essential parameter in ocean color remote sensing and a fundamental input for the estimation of ocean color elements. Predicting Rrs has the potential to enable simultaneous prediction of multiple marine environ
Externí odkaz:
https://doaj.org/article/2e1252c218f744f5bd93792da79089ac
Publikováno v:
Atmosphere, Vol 15, Iss 7, p 799 (2024)
Accurately predicting PM2.5 is a crucial task for protecting public health and making policy decisions. In the meanwhile, it is also a challenging task, given the complex spatio-temporal patterns of PM2.5 concentrations. Recently, the utilization of
Externí odkaz:
https://doaj.org/article/82c1fd963bd3406d9a5641265713cb96
Publikováno v:
IET Software, Vol 17, Iss 3, Pp 249-267 (2023)
Abstract Mobile apps with tested Graphical User Interface (GUI) tend to have higher downloads in the apps store. In recent years, few efforts were made to analyse the research community and research status of the literature for GUI testing on mobile
Externí odkaz:
https://doaj.org/article/24d34463d66d4eb5bfc1dc29598db774
Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey
Autor:
Nannan Qin, Weikai Tan, Haiyan Guan, Lanying Wang, Lingfei Ma, Pengjie Tao, Sarah Fatholahi, Xiangyun Hu, Jonathan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103566- (2023)
With the fast development of 3D data acquisition techniques, topographic point clouds have become easier to acquire and have promoted many geospatial applications. Ground filtering (GF), as one of the most fundamental and challenging tasks for the po
Externí odkaz:
https://doaj.org/article/c28e092365b141cf9aa65ffc174d2e13
Autor:
Shenghao Yang, Hoover H. F. Yin, Raymond W. Yeung, Xi Xiong, Yanlong Huang, Lingfei Ma, Mo Li, Chaoyang Tang
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 4, Pp 310-324 (2023)
Network communication is crucial for Infrastructure-Vehicle Cooperative Autonomous Driving (IVCAD), which can help to improve both driving safety and efficiency. Existing IVCAD systems either use RoadSide Units (RSUs) deployed sparsely in critical lo
Externí odkaz:
https://doaj.org/article/78d436db9e0c443e9711f315ea0b3dc4
Autor:
Huchen Li, Haiyan Guan, Lingfei Ma, Xiangda Lei, Yongtao Yu, Hanyun Wang, Mahmoud Reza Delavar, Jonathan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103391- (2023)
Point cloud semantic segmentation, which contributes to scene understanding at different scales, is crucial for three-dimensional reconstruction and digital twin cities. However, current semantic segmentation methods mostly extract multi-scale featur
Externí odkaz:
https://doaj.org/article/4562a6560635413a94dd475fea487a2b