Zobrazeno 1 - 10
of 898
pro vyhledávání: '"Graph convolutional network (GCN)"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Understanding land use and damage in open-pit coal mining areas is crucial for effective scientific oversight and management. Current recognition methods exhibit limitations: traditional approaches depend on manually designed features, which
Externí odkaz:
https://doaj.org/article/9f45d4588dab44c3bac23e6c41609178
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 853-864 (2025)
Semantic segmentation of aerial images is crucial yet resource-intensive. Inspired by human ability to learn rapidly, few-shot semantic segmentation offers a promising solution by utilizing limited labeled data for efficient model training and genera
Externí odkaz:
https://doaj.org/article/aaaca3a28fe34d469546abc6e7f38aef
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Hand gesture recognition based on sparse multichannel surface electromyography (sEMG) still poses a significant challenge to deployment as a muscle–computer interface. Many researchers have been working to develop an sEMG-based hand gestur
Externí odkaz:
https://doaj.org/article/23d8bd29525e459083470afd4af61e1a
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 3, Pp 765-780 (2024)
Understanding the subcellular localization of long non-coding RNAs (lncRNAs) is crucial for unraveling their functional mechanisms. While previous computational methods have made progress in predicting lncRNA subcellular localization, most of them ig
Externí odkaz:
https://doaj.org/article/422169b76ccb4e3a9369e1499a6aa3ee
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Polypharmacy involves an individual using many medications at the same time and is a frequent healthcare technique used to treat complex medical disorders. Nevertheless, it also presents substantial risks of negative medication responses and
Externí odkaz:
https://doaj.org/article/bca4053be83644d9848a9c0c0bb4a306
Publikováno v:
Virtual and Physical Prototyping, Vol 19, Iss 1 (2024)
This study first proposes a physics-guided spatiotemporal graph. The melt pool temporal feature nodes and spatial feature nodes are extracted from melt pool images based on spatiotemporal correlations. These feature points are treated as graph nodes,
Externí odkaz:
https://doaj.org/article/69f0fa0983914853a21d3fea9dfd2254
Autor:
Changjian Liu, Shuhui Gong, Hui Su, Jianwei Chen, Honglei Guo, Jifeng He, Changfeng Jing, Yu Liu
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
With urbanisation and population growth, understanding spatial interactions in cities is increasingly vital for urban management. In recent decades, spatial interactions could be predicted accurately with the support of large GPS data, but anonymous
Externí odkaz:
https://doaj.org/article/04a51a5ea62d40a1ab5c0e443ba9147d
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTThe abundant details embedded in very-high-resolution remote sensing images establish a solid foundation for comprehending the land surface. Simultaneously, as spatial resolution advances, there is a corresponding escalation in the required g
Externí odkaz:
https://doaj.org/article/da0815e74f3649b482a200c95159f00f
Publikováno v:
PeerJ Computer Science, Vol 10, p e2391 (2024)
Shared bikes, as an eco-friendly transport mode, facilitate short commutes for urban dwellers and help alleviate traffic. However, the prevalent station-based strategy for bike placements often overlooks urban zones, cycling patterns, and more, resul
Externí odkaz:
https://doaj.org/article/ccd21bd493b64dd1a62fc5870af8d437
Autor:
Peng Han, Xiangliang Zhang
Publikováno v:
International Journal of Crowd Science, Vol 8, Iss 2, Pp 95-99 (2024)
Disease-gene association, an important problem in the biomedical area, can be used to early intervene the treat of deadly diseases. Recently, models based on graph convolutional networks (GCNs) have outperformed previous linear models on predicting t
Externí odkaz:
https://doaj.org/article/433f523c1b194c51bb094eaeb00d9154