Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Nianwen Ning"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2883-2900 (2023)
Abstract Various external factors that interfere with traffic flow, such as weather conditions, traffic accidents, incidents, and Points of Interest (POIs), need to be considered in performing traffic forecasting tasks. However, the current research
Externí odkaz:
https://doaj.org/article/ea8e4fda50814d0aa82363da6630f77d
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 4887-4898 (2023)
Abstract Multi-agent multi-target search strategies can be utilized in complex scenarios such as post-disaster search and rescue by unmanned aerial vehicles. To solve the problem of fixed target and trajectory, the current multi-agent multi-target se
Externí odkaz:
https://doaj.org/article/1ef9b8b2268d45a89d83b68af9e647c6
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 4, Pp 4301-4315 (2023)
Abstract Driving intention prediction with trajectory data of surrounding vehicles is critical to advanced driver assistance system for improving the accuracy of decision-making. Previous works mostly focused on trajectory representation based on sup
Externí odkaz:
https://doaj.org/article/475e56fd126b44eb92c05997e06292f4
Publikováno v:
IEEE Access, Vol 7, Pp 74528-74541 (2019)
Social networks that are dynamic contain rich network structure and content information. In dynamic networks, it is necessary to discover communities and their topical meanings. However, existing methods either only discover communities with ignoring
Externí odkaz:
https://doaj.org/article/de28c31386a04a059da5a46c1332e56f
Publikováno v:
Complexity, Vol 2021 (2021)
Multiplex networks have been widely used in information diffusion, social networks, transport, and biology multiomics. They contain multiple types of relations between nodes, in which each type of the relation is intuitively modeled as one layer. In
Externí odkaz:
https://doaj.org/article/182998b3d5fc4e4da7d04adcd2c5a931
Publikováno v:
Complexity, Vol 2020 (2020)
Many real-world complex systems have multiple types of relations between their components, and they are popularly modeled as multiplex networks with each type of relation as one layer. Since the fusion analysis of multiplex networks can provide a com
Externí odkaz:
https://doaj.org/article/8260b7cbd4c648aa878ef9a223129cfa
Autor:
Huigang Chang, Nianwen Ning
Publikováno v:
Sensors, Vol 21, Iss 22, p 7588 (2021)
Connected autonomous vehicles can leverage communication and artificial intelligence technologies to effectively overcome the perceived limitations of individuals and enhance driving safety and stability. However, due to the high dynamics of the vehi
Externí odkaz:
https://doaj.org/article/f86e0978d4194a2189b19c1507b9671d
Autor:
Nianwen Ning, Bin Wu
Publikováno v:
网络与信息安全学报, Vol 3, Pp 67-77 (2017)
In complex network of real world,there are many types of relationships between individuals,and the more effective research ways for this kind of network is to abstract these relationship as a multiplex network.More and more researchers are attracted
Externí odkaz:
https://doaj.org/article/6e098f5c6a5f4346aa4b30e7266aa127
Publikováno v:
Neurocomputing. 462:88-100
The spread of disinformation and fake news on social platforms has an unfavorable impact on social harmony and stability. The timely and accurate identification of fake news might help restrain the propagation of fake news and mitigate its influence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e9aebd27d081ce0e5292921c8dda1b7
https://doi.org/10.1016/j.neucom.2021.07.077
https://doi.org/10.1016/j.neucom.2021.07.077
Publikováno v:
2022 IEEE Latin-American Conference on Communications (LATINCOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b543ac620e04057494faf3347458ad3c
https://doi.org/10.1109/latincom56090.2022.10000469
https://doi.org/10.1109/latincom56090.2022.10000469