Zobrazeno 1 - 10
of 364
pro vyhledávání: '"network theory (graphs)"'
Publikováno v:
IET Control Theory & Applications, Vol 18, Iss 17, Pp 2358-2367 (2024)
Abstract Efficient route planning in transportation networks, particularly under stochastic conditions like severe weather (i.e. snow or hail), poses a significant computational challenge. This article addresses this challenge by modeling the route p
Externí odkaz:
https://doaj.org/article/356463f840804adfb1adcc177d40da3f
Autor:
Biffon Manyura Momanyi, Sebu Aboma Temesgen, Tian‐Yu Wang, Hui Gao, Ru Gao, Hua Tang, Li‐Xia Tang
Publikováno v:
IET Systems Biology, Vol 18, Iss 5, Pp 172-182 (2024)
Abstract Long non‐coding RNAs (lncRNAs) have emerged as significant contributors to the regulation of various biological processes, and their dysregulation has been linked to a variety of human disorders. Accurate prediction of potential correlatio
Externí odkaz:
https://doaj.org/article/c7f0e7b6757f4411aaed35284b088b03
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 18, Pp 2897-2909 (2024)
Abstract Green hydrogen, the cleanest energy carrier, is receiving increased attention in recent years. Transporting hydrogen through a natural gas system (NGS) will significantly promote the use of hydrogen, moreover, hydrogen‐enriched compressed
Externí odkaz:
https://doaj.org/article/22c812f9d3334d03afc8817df3ae909f
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 10, Pp 1979-1991 (2023)
Abstract Traffic forecasting has made pronounced progress with the development of graph convolution networks and the use of the topology of road networks. However, existing works face some limitations when it comes to modelling spatial dependencies.
Externí odkaz:
https://doaj.org/article/0d24f19eae3144a5844d739ed19c4b7d
Autor:
Jun Sun, Saratha Sathasivam
Publikováno v:
Alexandria Engineering Journal, Vol 81, Iss , Pp 243-255 (2023)
The coronavirus (COVID-19) pandemic began in late 2019, unleashing a severe human health crisis that lasted three years and caused immeasurable economic losses worldwide. Although the World Health Organization declared the end of its emergency phase
Externí odkaz:
https://doaj.org/article/2e5f83ed9e6c4c3d837a34da6652f528
Publikováno v:
IEEE Access, Vol 11, Pp 41426-41443 (2023)
Temporal network data are increasingly available in various domains, and often represent highly complex systems with intricate structural and temporal evolutions. Due to the difficulty of processing such complex data, it may be useful to coarse grain
Externí odkaz:
https://doaj.org/article/ad1e9b32573149e7ac771215cb9b2053
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
IEEE Access, Vol 10, Pp 95369-95389 (2022)
The fully connected topology, which coordinates the connection of each neuron with all other neurons, remains the most commonly used structure in Hopfield-type neural networks. However, fully connected neurons may form a highly complex network, resul
Externí odkaz:
https://doaj.org/article/bba8191b118a4950ae00fd85cc5c72d5
Publikováno v:
IEEE Access, Vol 10, Pp 34755-34765 (2022)
In this work, we aim to classify nodes of unstructured peer-to-peer networks with communication uncertainty, such as users of decentralized social networks. Graph Neural Networks (GNNs) are known to improve the accuracy of simple classifiers in centr
Externí odkaz:
https://doaj.org/article/cd7f1805f8824b8abfc37455efef3e9a
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.