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The minimum and maximum degrees of graph G are respectively denoted by δ and Δ.
The minimum and maximum degrees of graph G are denoted by (delta_{G}) and (Delta_{G}), respectively.
The minimum and maximum degrees of graph G are denoted by (delta_{G}) and (bigtriangleup_{G}), respectively.
The minimum and maximum degrees of G are respectively defined by (bigtriangleup _{G}=max{d_{G}(x): xin V(G }) and (delta_{G}=min{d_{G}(x):xin V(G }).
Compared with other supervised learning based methods (e.g. Qi et al.[ 15] and Shi et al.[ 16]), our method introduces some new features from the weighted network: the density, the mean and maximum degrees of the weighted network, which prove to be quite effective for the performance improvement.
Compared with the other supervised learning-based methods of Qi et al. and Shi et al., our method introduces some new features from the weighted network (in bold and itlic in Table 6): the density, the mean and maximum degrees of the weighted network.
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FCE method is the application of fuzzy transformation and maximum degree of membership principle.
The results of extensive sensitivity analyses of the bus ratio, bus occupancy, and maximum degree of saturation of exclusive bus lanes have been presented to show the performance and applicable domain of the proposed model under different composition of inputs.
Response surface methodology (RS M was utilised to obtain the optimum process parameters [hydrolysis temperature, hydrolysis time and enzyme to substrate (E:S) ratio] and maximum degree of hydrolysis (DH) for the enzymatic hydrolysis process.
In our numerical studies, we consider a cellular downlink MIMO network where there are L=3 users receiving service from a base station, as shown in Fig. 2. Both the BS and users have three antenna elements, and thus, the maximum degrees of freedom of MIMO links between the BS and users is d=3.
where d c max and d s max were the maximum degrees of the check nodes and symbol nodes, respectively.
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