Abstract: Finer grid representation is required for a more accurate description of mask patterns in inverse lithography techniques, thus resulting in a large-size mask representation and heavy ...
Abstract: In recent years, deep learning technology has developed rapidly, and the capabilities of models have become increasingly powerful. However, these models also have problems such as large size ...
Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...
In this paper, a method called "differential inversion" is presented for solving a class of integral equations (Fredholm integral equations of the first kind) of convolution form. Differential ...
In a lecture example, we used the convolution integral approach to study the response of an undamped oscillator excited by the rectangular pulse shown below. Here we will apply the graphical ...
This can be fixed by editing convolution_backward_weight and d convolution_backward_input to one more bool value named allow_tf32, which maybe because of a change on pytorch.
To address the issues of low accuracy, high dependence on prior knowledge, and poor adaptability in fusing multi-channel features in existing plunger pump fault diagnosis methods, a new method based ...
ABSTRACT: Purpose: To introduce a practical method of using an Electron Density Phantom (EDP) to evaluate different dose calculation algorithms for photon beams in a treatment planning system (TPS) ...
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