Available similarity-based approaches for finding probable associations in complex systems perform well on specific categories of networks. They utilize a limited number of features. Our designed method performs well on different categories of networks because it uses three simple features. We compare ...
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...
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...
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...
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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...
The results showed that the use of the reversible metallopolymer adhesive is a strategy for the preparation of complex, heterogeneous and reconfigurable hydrogel assemblies with reprogrammable actuation functions. Fig. 5: Reconfiguring the structures of responsive hydrogel assemblies for multiple customized ...
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...
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...
Using kernel functions, the computation of the inner product in the feature space Φ does not require knowledge of the specific form of the non-linear mapping, thus avoiding the complex calculation of the inner product in high-dimensional spaces. In addition to this, the kernel function has ano...