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Essential proteins are crucial to cellular survival and development. Traditionally, essential proteins are identified by knock-out experiments, which are expensive and often fatal to the target organisms. Regarding this, an important approach to essential protein identification is through computational prediction. In this research, we present a novel computational method, Integrated Edge Weights (IEW),...
This paper proposes a rail defect detection method based on vibration acceleration signals. The vibration signals are generated from the vehicle-track coupling model by inputting different typical rail defect excitations. The empirical mode decomposition method is used to decompose the signal. Intrinsic mode functions that have a big cross-correlation coefficient with the original signal are selected,...
Nonnegative Matrix Factorization (NMF), a popular compact data representation method, fails to discover the intrinsic geometrical structure of the data space. Graph regularized NMF (GrNMF) is proposed to avoid this limitation by regularizing NMF with a nearest neighbor graph constructed from the input data feature space. However using the original feature space directly is not appropriate because...
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