Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hanzhou Chen"'
Publikováno v:
Social Inclusion, Vol 10, Iss 3, Pp 221-232 (2022)
Individuals connect to sets of places through travel, migration, telecommunications, and social interactions. This set of multiplex network connections comprises an individual’s “extensibility,” a human geography term that qualifies one’s geo
Externí odkaz:
https://doaj.org/article/4b60528c6685475aa65134120b8c503c
Publikováno v:
International Journal of Geographical Information Science. 35:2463-2488
The American Mafia is a network of criminals engaged in drug trafficking, violence and other illegal activities. Here, we analyze a historical spatial social network (SSN) of 680 Mafia members foun...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82413d172e1663e18871c198f330418b
https://doi.org/10.1080/13658816.2021.1884869
https://doi.org/10.1080/13658816.2021.1884869
Publikováno v:
Human Dynamics Research in Smart and Connected Communities ISBN: 9783319732466
In this research, we propose a conceptual framework for spatiotemporal and social network visualization in a three-dimensional context. Based on this framework, new spatio-temporal-network (STN) quantitative metrics (including STN-impact-extent, STN-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f858afd97c477bc7caa979e9a974b7f
https://doi.org/10.1007/978-3-319-73247-3_4
https://doi.org/10.1007/978-3-319-73247-3_4
Publikováno v:
Journal of the Franklin Institute. 330:1005-1015
Cellular neural network (CNN) is a type of analog, nonlinear, real-time parallel processing network. The paper studies an implementation of the integrated operational amplifier used in the design of an artificial CNN. It improves the implementation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ee06dcfa36e71a83d72495d5ff2c07d
https://doi.org/10.1016/0016-0032(93)90062-y
https://doi.org/10.1016/0016-0032(93)90062-y
Publikováno v:
Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94).
This paper studies bifurcation and chaos in discrete-time cellular neural networks (DTCNN), whose cells, similar to that in continuous-time CNN's, are locally coupled and whose output equations are logistic equations. The chaotic behavior of two type
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61857391972c1933cde69246cab2bd4a
https://doi.org/10.1109/cnna.1994.381661
https://doi.org/10.1109/cnna.1994.381661
Publikováno v:
Proceedings of the Third IEEE International Workshop on Cellular Neural Networks & their Applications (CNNA-94); 1994, p309-314, 6p
Conference
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