crackles and to calculate the portion of crackles during late inspiration. Support vector machine (SVM) based on the HHT … appeared during the late inspiration. The discrimination results obtained from SVM achieved a concordance rate up to 92 …

optimal predictor is a polynomial of the inputs. If the kernel of the SVM has sufficiently high order or is transcendental …, the scale of the learning curve and the asymptote is determined by the target rule and does not depend on the kernel. On …

technologies have been developed for price forecasting. The SVM (Support Vector Machine) has shown its good performance in market … price forecasting. Two approaches for forming the market bidding strategies based on SVM are proposed. One is based on the …

on an edge and propose a cascading load model in interdependent networks. We explore the robustness of the interdependent … networks against cascading failures by two measures, i.e., the critical threshold βc quantifying the whole robustness of the …

In this paper, we investigate the efficiency and the robustness of information transmission for real-world social … efficiency or robustness is the presence of short-time correlations across the network instances which we quantify by a novel …

We introduce two new measures of network robustness and apply them to four different strategies. The measures are … varying robustness to demonstrate the measures. We also demonstrate how to employ the measures in order to improve the … robustness of the networks by adding one new link. We further indicate that the measures are able to identify the infrequently …

Robustness of network of networks (NON) has been studied only for dependency coupling (Gao et al., 2012) and only for … interconnected links is more complicated, and also more close to real-life coupled network systems. Understanding the robustness of … framework to study analytically and numerically the robustness of this system with no-feedback and feedback conditions for the …

effective. By studying the relationship between network cost and robustness, we find that the model can defend against cascading … failures better and requires a lower investment cost when higher robustness is required. …

methodologies to the transportation literature, and offers one application to the robustness of metros; here, metro refers to urban … relatively large scaling factors. The analysis provides insights/recommendations for increasing the robustness of metro networks …

Robustness is one of the crucial properties that needs to be considered in the design of routing strategies on networks …. We study the robustness of three typical routing strategies, which are the SP (shortest path), EP (efficient path), and …