Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Spatio-temporal fusion"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The multi-lead electrocardiogram (ECG) is widely utilized in clinical diagnosis and monitoring of cardiac conditions. The advancement of deep learning has led to the emergence of automated multi-lead ECG diagnostic networks, which have becom
Externí odkaz:
https://doaj.org/article/bdae1f5efb0b48c097bf6057df22fee6
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103912- (2024)
The Soil Moisture Active Passive (SMAP) product, which delivers spatially continuous soil moisture (SM) data with reliable accuracy, has been widely used in ecologically and hydrologically related studies. However, the active radar of SMAP failed aft
Externí odkaz:
https://doaj.org/article/ede926a9b85b4bf4b744fc75f53a7551
Publikováno v:
IEEE Access, Vol 12, Pp 115895-115904 (2024)
This paper introduces the Multi-Dimensional Spatio-Temporal Fusion Transformer (MDSTFT), a state-of-the-art deep learning framework designed to enhance multi-variate time series forecasting. The MDSTFT diverges from traditional models by integrating
Externí odkaz:
https://doaj.org/article/ca154757873f4087a228ba02f0baaa16
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1257-1268 (2024)
Currently, within the realm of deep learning-based spatiotemporal fusion algorithms, those that employ solely convolutional operations are unable to efficiently extract the global image information. In addition, fusion networks that employ a combinat
Externí odkaz:
https://doaj.org/article/d26b00445d5d44aa944a1402e8d30e3c
Autor:
Min Zhang, Xinhui Ma, Ang Chen, Jian Guo, Xiaoyu Xing, Dong Yang, Bin Xu, Xinyu Lan, Xiuchun Yang
Publikováno v:
Ecological Indicators, Vol 157, Iss , Pp 111276- (2023)
The accurate estimation of the aboveground biomass (AGB) is crucial for the sustainable utilization and management of grassland resources. Spatio-temporal inconsistencies between field samples and satellite images are major source of error in the est
Externí odkaz:
https://doaj.org/article/560521a9eac0443dbffb2d3b34a62fff
Publikováno v:
Science of Remote Sensing, Vol 8, Iss , Pp 100102- (2023)
Fine spatial resolution remote sensing images are crucial sources of data for monitoring the Earth's surface. Due to defects in sensors and the complicated imaging environment, however, fine spatial resolution images always suffer from various degree
Externí odkaz:
https://doaj.org/article/48e53fbc40b349e3a10d6ced8e537638
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
With the rapid development of the power system and increasing demand for intelligence, substation operation training has received more attention. Action recognition is a monitoring and analysis system based on computer vision and artificial intellige
Externí odkaz:
https://doaj.org/article/ce9bde138ab544139c5dbfe48f0d0d2c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8764-8781 (2023)
With the rapid urban infrastructure expansion in China, numerous cities have been suffering from the negative effects of urban warming and ensuing social and environmental challenges. Accurate acquisition of long-term dynamics in urban land surface t
Externí odkaz:
https://doaj.org/article/56429c0374df4a90aaa2754d8f670486
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1350-1364 (2023)
The thermal infrared band of the moderate resolution imaging spectroradiometer (MODIS) onboard the Terra/Aqua satellite can provide daily, 1 km land surface temperature (LST) observations. However, due to the influence of cloud contamination, spatial
Externí odkaz:
https://doaj.org/article/5eff23a68d3f4233bd080109524b6369
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 3, p 71 (2024)
Traffic flow prediction is a crucial research area in traffic management. Accurately predicting traffic flow in each area of the city over the long term can enable city managers to make informed decisions regarding the allocation of urban transportat
Externí odkaz:
https://doaj.org/article/5bddc668fe07418a927cdcaf66e623cb