Zobrazeno 1 - 10
of 755
pro vyhledávání: '"GNNs"'
Publikováno v:
Movement Ecology, Vol 12, Iss 1, Pp 1-15 (2024)
Abstract Background Recent technological advances have resulted in low-cost GPS loggers that are small enough to be used on a range of seabirds, producing accurate location estimates (± 5 m) at sampling intervals as low as 1 s. However, tradeoffs be
Externí odkaz:
https://doaj.org/article/f9a7032f41c64f84a490a22b7041045d
Autor:
Aafaq Mohi ud din, Shaima Qureshi
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 1, Pp 205-216 (2024)
Graph Neural Networks (GNNs) have become a widely used tool for learning and analyzing data on graph structures, largely due to their ability to preserve graph structure and properties via graph representation learning. However, the effect of depth o
Externí odkaz:
https://doaj.org/article/eb0fb22d25674c1eb7ff4c7f1d475726
Publikováno v:
IEEE Access, Vol 12, Pp 128816-128832 (2024)
Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures, allows them to have a great number of applications in vari
Externí odkaz:
https://doaj.org/article/10ce5f6f04af4771ad73b4cf4781d904
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11230-11245 (2024)
Multispectral images (MSIs) have widespread applications, and efficiently managing these extensive MSIs via remote sensing image retrieval (RSIR) is key to boosting their practical value. While current deep learning-based methods offer strong image r
Externí odkaz:
https://doaj.org/article/9030675edfe6407e9dc4f635b85e7177
Autor:
Youkai Jin, Anping Zhao
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2627-2638 (2023)
Abstract Numerous graph neural network (GNN) models have been used for sentiment analysis in recent years. Nevertheless, addressing the issue of over-smoothing in GNNs for node representation and finding more effective ways to learn both global and l
Externí odkaz:
https://doaj.org/article/8e34c4a59a0b420f9dbad9d6828b3773
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9493 (2024)
Estimating the location of unmanned aerial vehicles (UAVs) within a global coordinate system can be achieved by correlating known world points with their corresponding image projections captured by the vehicle’s camera. Reducing the number of requi
Externí odkaz:
https://doaj.org/article/9e63e44035a544fbb81f4524d55c6c05
Autor:
Martin Gallimore, Edouard Koehn, Mario Schlegel, Leon Stillhard, Andreas Vetsch, Björn Peter Bruhin, Martin J. Bünner
Publikováno v:
Current Issues in Sport Science, Vol 9, Iss 3 (2024)
Using tracking data we can identify the optimal racing line for top male athletes on the famous S-curved segment (Brueggli-S) of the downhill FIS world cup track “Lauberhorn” in Switzerland. For this, we have measured and analysed training runs,
Externí odkaz:
https://doaj.org/article/d4131f7d2c664e3fb342638341f649e6
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of various subsequent machine learning tasks. Howeve
Externí odkaz:
https://doaj.org/article/34af8cf014244b41be1b2d24a0875c2e
Autor:
Muhammad Awais, Khelil Kassoul, Abdelfatteh El Omri, Omar M. Aboumarzouk, Khalid Abdulhadi, Samir Brahim Belhaouari
Publikováno v:
Biomedicines, Vol 12, Iss 7, p 1404 (2024)
Tinnitus is the perception of sounds like ringing or buzzing in the ears without any external source, varying in intensity and potentially becoming chronic. This study aims to enhance the understanding and treatment of tinnitus by analyzing a dataset
Externí odkaz:
https://doaj.org/article/4dc9256627ab4733bddd120cc8471e29
Autor:
Zuzanna Kulińska-Kępa
Publikováno v:
Studia Iuridica Lublinensia, Vol 32, Iss 1, Pp 231-249 (2023)
Global Navigation Satellite System (GNSS) is an important tool in supporting innovation and developing the economy. The European Union has created two systems: Galileo and EGNOS (European Geostationary Navigation Overlay Service), which enable the lo
Externí odkaz:
https://doaj.org/article/59da591c1c5d421fa1865e6a6bbfa92d