With the rapid growth of Android malware, many machine learning-based malware analysis approaches are proposed to mitigate severe phenomenon. However, such classifiers opaque, non-intuitive, and difficult for analysts understand inner decision reason. For this reason, a variety explanation interpret predictions by providing important features. Unfortunately, results obtained in domain cannot ac...

The most commonly used method for estimating the time domain parameters of an autoregressive process is to use the Yule-Walker equations. The Yule-Walker estimates of the parameters of an autoregressive process are known to often be highly biased. There is a Fourier transform relationship between the autocovariance sequence for an autoregressive process (the estimates of which are used in the Y...

Establishing a fundamental understanding of the nature materials via computational simulation approaches requires knowledge from different areas, including physics, science, chemistry, mechanical engineering, mathematics, and computer science. Accurate modeling characteristics particular system usually involves multiple scales therefore combination methods various fields into custom-tailored wo...