some comments/questions today from Giorgio and @ryancoe got me thinking about our radiation force with variable hydro more. I think we can improve how the convolution integral method of the radiation ...

Abstract: Convolution integral and convolution summation play an important role in the analysis of the linear time invariant systems. At present, many text books have published in my home country or ...

Person re-identification(Re-ID) aims to retrieve pedestrians under different cameras. Compared with image-based Re-ID, video-based Re-ID extracts features from video sequences that contain both ...

A key component of deep convolutional neural network training is feature normalization, which aims to increase stability, reduce internal covariate shifts, and boost network performance. The ...

Abstract: In this work, we introduce new integral formulations based on the convolution quadrature method for the time-domain modeling of perfectly electrically conducting scatterers that overcome ...

ABSTRACT: In this paper, we perform a comprehensive explanation of the geophysical inversion of gravity data, as well as, how it can be used to determine the Moho undulation and the crustal structure.