When the first r lower extreme order statistics (failure times) of a sample large size id="M2">n, 1<r<s<n , are observed, asymptotic predictive intervals future statistic with rank id="M3">s const...

Establishing the relationship between deformation of coal samples and acoustic emission response is basis for prediction samples. Using a combination laboratory tests theoretical analysis, uniaxial loading process were conducted on in study area test results analyzed, focusing rule variation counts with time. Based analysis stress, strain, time, acoustic-emission parameters variation, was estab...

Accurate short-term traffic prediction plays a pivotal role in various smart mobility operation and management systems. Currently, most of the state-of-the-art models are based on graph neural networks (Gnns), required training samples proportional to size network. In many cities, available amount data is substantially below minimum requirement due collection expense. It still an open question ...