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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1971 1
1975 6
1976 3
1977 2
1979 1
1980 1
1981 3
1982 3
1983 1
1985 2
1986 6
1987 5
1988 5
1989 4
1990 5
1991 16
1992 3
1993 13
1994 13
1995 16
1996 12
1997 21
1998 15
1999 16
2000 25
2001 27
2002 24
2003 25
2004 33
2005 29
2006 43
2007 51
2008 51
2009 77
2010 68
2011 85
2012 85
2013 95
2014 121
2015 137
2016 149
2017 151
2018 191
2019 215
2020 247
2021 314
2022 390
2023 384
2024 141

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3,026 results

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Page 1
A network of networks.
Iedema R, Verma R, Wutzke S, Lyons N, McCaughan B. Iedema R, et al. J Health Organ Manag. 2017 Apr 10;31(2):223-236. doi: 10.1108/JHOM-07-2016-0146. J Health Organ Manag. 2017. PMID: 28482771 Free article.
Further, ACI bears out a paradox of "centralised decentralisation", co-locating agents of innovation with networks of implementation and evaluation expertise. ...Practical implications The co-location of and dynamic interaction among clinical networks may cre …
Further, ACI bears out a paradox of "centralised decentralisation", co-locating agents of innovation with networks of implemen …
A trauma network with centralized and local health care structures: Evaluating the effectiveness of the first certified Trauma Network of the German Society of Trauma Surgery.
Ernstberger A, Koller M, Zeman F, Kerschbaum M, Hilber F, Diepold E, Loss J, Herbst T, Nerlich M; Trauma Centers of the Trauma Network of Eastern Bavaria (TraumaNetzwerk Ostbayern − TNO). Ernstberger A, et al. PLoS One. 2018 Mar 14;13(3):e0194292. doi: 10.1371/journal.pone.0194292. eCollection 2018. PLoS One. 2018. PMID: 29538456 Free PMC article.
MATERIALS AND METHODS: In 2009, the first trauma network DGU in Germany was certified in the rural area of Eastern Bavaria. ...The number need to treat was 10 patients. DISCUSSION: This study showed that a rural trauma network with centralized and local struc …
MATERIALS AND METHODS: In 2009, the first trauma network DGU in Germany was certified in the rural area of Eastern Bavaria. ...The nu …
The Dynamics of Cross-Sector Collaboration in Centralized Disaster Governance: A Network Study of Interorganizational Collaborations during the MERS Epidemic in South Korea.
Ku M, Han A, Lee KH. Ku M, et al. Int J Environ Res Public Health. 2021 Dec 21;19(1):18. doi: 10.3390/ijerph19010018. Int J Environ Res Public Health. 2021. PMID: 35010280 Free PMC article.
The debate continues as to which governance structure is most appropriate for collaborative disaster response, particularly between centralization and decentralization. This article aims to contribute to this debate by analyzing the structural characteristics of a multisec …
The debate continues as to which governance structure is most appropriate for collaborative disaster response, particularly between centr …
Influence of network structure on contaminant spreading efficiency.
Zhao P, Wang Q, Wang P, Xiao S, Li Y. Zhao P, et al. J Hazard Mater. 2022 Feb 15;424(Pt B):127511. doi: 10.1016/j.jhazmat.2021.127511. Epub 2021 Oct 15. J Hazard Mater. 2022. PMID: 34688007
We measured the contaminant spreading efficiency in different networks using a newly defined parameter. We analyzed basic networks to identify the effect of the network structure on the contaminant spread. ...We compared the contaminant spreading efficiencies …
We measured the contaminant spreading efficiency in different networks using a newly defined parameter. We analyzed basic networks …
Centralized and Collective Neurodynamic Optimization Approaches for Sparse Signal Reconstruction via L1-Minimization.
Zhao Y, Liao X, He X, Tang R. Zhao Y, et al. IEEE Trans Neural Netw Learn Syst. 2022 Dec;33(12):7488-7501. doi: 10.1109/TNNLS.2021.3085314. Epub 2022 Nov 30. IEEE Trans Neural Netw Learn Syst. 2022. PMID: 34156950
This article develops several centralized and collective neurodynamic approaches for sparse signal reconstruction by solving the L(1) -minimization problem. ...In addition, considering that the collective neurodynamic approaches have the function of information protection …
This article develops several centralized and collective neurodynamic approaches for sparse signal reconstruction by solving the L(1) …
Collaboration and Networking.
Husson O, Manten-Horst E, van der Graaf WT. Husson O, et al. Prog Tumor Res. 2016;43:50-63. doi: 10.1159/000447071. Epub 2016 Sep 5. Prog Tumor Res. 2016. PMID: 27595356 Review.
The best way to bridge the gap in care of AYA cancer patients is to centralize aspects of their care within dedicated AYA care programs, including the following essential components: provision of developmentally appropriate and multidisciplinary (supportive) care, availabi …
The best way to bridge the gap in care of AYA cancer patients is to centralize aspects of their care within dedicated AYA care progra …
Distributed Authentication Model for Secure Network Connectivity in Network Separation Technology.
Park NE, Park SH, Oh YS, Moon JH, Lee IG. Park NE, et al. Sensors (Basel). 2022 Jan 12;22(2):579. doi: 10.3390/s22020579. Sensors (Basel). 2022. PMID: 35062539 Free PMC article.
In a conventional centralized network connection concept, a problem occurs because if either usability or security is strengthened, the other is weakened. ...By communicating with separated networks based on the authentication between distributed nodes, the i …
In a conventional centralized network connection concept, a problem occurs because if either usability or security is strength …
A multi-attack intrusion detection model based on Mosaic coded convolutional neural network and centralized encoding.
Hu R, Wu Z, Xu Y, Lai T, Xia C. Hu R, et al. PLoS One. 2022 May 5;17(5):e0267910. doi: 10.1371/journal.pone.0267910. eCollection 2022. PLoS One. 2022. PMID: 35511763 Free PMC article.
With the development of the Internet of Vehicles (IoV), attacks to the vehicle-mounted control area network (CAN) have seriously jeopardized the security of automobiles. ...In view of the deficiency in the current methods, this paper proposed a method to detect multi-intru …
With the development of the Internet of Vehicles (IoV), attacks to the vehicle-mounted control area network (CAN) have seriously jeop …
Bandwidth-Efficient Distributed Neural Network Architectures With Application to Neuro-Sensor Networks.
Strypsteen T, Bertrand A. Strypsteen T, et al. IEEE J Biomed Health Inform. 2023 Feb;27(2):933-943. doi: 10.1109/JBHI.2022.3225019. Epub 2023 Feb 3. IEEE J Biomed Health Inform. 2023. PMID: 36441876
In this paper, we describe a design methodology to design distributed neural network architectures that can perform efficient inference within sensor networks with communication bandwidth constraints. ...The proposed method offers a way to transform a centralized …
In this paper, we describe a design methodology to design distributed neural network architectures that can perform efficient inferen …
CCGN: Centralized collaborative graphical transformer multi-agent reinforcement learning for multi-intersection signal free-corridor.
Mukhtar H, Afzal A, Alahmari S, Yonbawi S. Mukhtar H, et al. Neural Netw. 2023 Sep;166:396-409. doi: 10.1016/j.neunet.2023.07.027. Epub 2023 Jul 26. Neural Netw. 2023. PMID: 37549608 Free article.
CCGN combines local policy networks (LPN) and global policy networks, where LPN employed at each intersection predicts actions based on Transformer and Graph Convolutional Network (GCN). ...We developed the Deep Graph Convolution Q-Network (DGCQ) by co …
CCGN combines local policy networks (LPN) and global policy networks, where LPN employed at each intersection predicts actions …
3,026 results