Abstract: At a first approximation and sufficiently low frequencies, two macroscopic phenomena influence the hysteresis cycle shape in ferromagnetic materials: magnetic hysteresis and magnetic ...
Abstract: Considering the characteristics of the intermittence of the Linz Donaniz converter gas (LDG) recovery, the dynamic updating of converter plans, and the interplay between converters, this ...
Abstract: Under industrial circumstances, the insufficiency of anomaly samples makes data-driven approach limited within the level of anomaly detection, which could hardly support the really-wanted ...
Abstract: Traffic flow prediction is an important issue in the intelligent transportation system, and traffic flow statistics is the data source of traffic flow prediction. The commonly used target ...
Abstract: As integrated circuits grow in complexity, test point insertion (TPI) has become vital for enhancing testability and improving reliability in design for test (DFT). Recent studies have shown ...
Abstract: This study employed speckle autocorrelation analysis in Optical Coherence Tomography signals to assess ex vivo pulpal blood flow. Results suggest OCT's potential as a non-invasive diagnostic ...
Abstract: In recent years, traffic problems have become more and more prominent. In order to solve the traffic congestion problem, this paper proposes a spatial-temporal dynamic graph convolution ...
Abstract: The proliferation of Internet of Things (IoT) and the adoption of Edge Computing paradigms have led to a substantial increase in data volume. Data imbalance is inevitable in distributed ...
A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest version. Recent fixes have been applied ...
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