Xiaoping Zhang

TL;DR: Wang et al. as mentioned in this paper proposed a new time series model based on Long Short-Term Memory (LSTM) as an alternative to computationally expensive physical models, which is composed of an LSTM layer with another fully connected layer on top of it.

TL;DR: This paper proposes a novel semantic stereo network named SSPCV-Net, which includes newly designed pyramid cost volumes for describing semantic and spatial information on multiple levels and designs a 3D multi-cost aggregation module to integrate the extracted multilevel features and perform regression for accurate disparity maps.

TL;DR: In this paper, the superconvergence phenomenon of the composite Simpson's rule for the finite-part integral with a third-order singularity is studied and two algorithms are suggested.

TL;DR: The proposed positivity-preserving finite volume scheme does not have the so-called numerical heat-barrier issue suffered by most existing cell-centered and hybrid schemes, however, further improvements have to be made if the solution is very close to the machine precision and the mesh distortion is very severe.

TL;DR: The general (composite) Newton-Cotes rules for evaluating Hadamard finite-part integrals with third-order singularity are investigated and the emphasis is placed on their pointwise superconvergence and ultraconvergence.