Multiple informationInformation propagationComplex networkInteraction factorPropagation thresholdThe relationships between information are intertwined when they are spreading in the network simultaneously. In order to study the impact of different interactions between information on the propagation and find the ...
respectively considered the output synchronization of fixed and adaptive coupled complex networks, and several output synchronization criteria were presented with the help of the output strict passivity. Under the hypothesis that node dynamics are incrementally dissipative, Liu et al. [13], discussed the...
M. Similarity-based extraction of individual networks from gray matter MRI scans. Cereb. Cortex 22, 1530–1541 (2012). PubMed Google Scholar Avena-Koenigsberger, A., Misic, B. & Sporns, O. Communication dynamics in complex brain networks. Nat. Rev. Neurosci. 19, 17–33 (2018). CAS...
For the prediction task, it is still unsolved for the predictions of all components in complex systems. Though some existing STI-based frameworks have the potential to address this issue, their abilities are often certified on partial components and not fully tested by all units in complex systems...
In two earlier papers, means were provided to decide the capacity of complex chemical reaction networks, taken with mass-action kinetics, to admit multiple equilibria in the context of the isothermal homogeneous continuous flow stirred tank reactor (CFSTR). In such a reactor, all species are deeme...
More about Multi-int Solutions Air command and control solutions Ensuring the sovereignty and security of national airspace, where threats can evolve in minutes, is complex and requires increased coordination. To help operators track and identify potential threats and protect our customers' airspace, ...
Pump networks are pipe networks in which most head changes are produced by pumps. When nonmonotoncity exists in one or more pump characteristic curves, possibility of multiple operating points exists. An optimization model for steady state networks of arbitrary topology, complexity, and size is pres...
liu@torilab.net 1 School of Engineering, The University of Tokyo, 7‑3‑1 Hongo, Bunkyo‑ku, Tokyo 113‑8654, Japan 2 DSOC (Data Strategy & Operation Center), Sansan Inc., Tokyo, Japan Abstract In complex networks, the role of a node is based on the aggregation of...
With the success of CNNs like AlexNet, VGGNet, and GoogLeNet, it was evident that deep neural networks were the way to go for learning complex visual concepts. However, increasing depth cannot be achieved by simply stacking layers on top of each other. It came with difficulties in the flow...
COVID-19 epidemic waves Piecewise constant parameters Pseudo-periodic solutions Complex network Portugal case study 1. Introduction The history of the pandemics that have already plagued mankind has revealed that there are consistently periods of marked increase in infected individuals, followed by phases...