… This paper introduces a new method to extract speaker embed- dings from a deep neural
network (DNN) for text-independent speaker verification. Usually, speaker embeddings are …

As the main technical basis for economic and social activities, industry standards are the
basic criteria for products to enter the market, an important indicator of the level of national …

… To further the study, I have developed a smellnote as a digital app for both iOS and
Android (currently in beta testing) called “Smellscaper” to collect and collate human-perceived …

… By combining different machine learning techniques, we … , we analyze 20,914 Android
application containing 3,145 malicious samples on two different machine learning techniques, …

… This study uses machine learning algorithms to detect Android malware in the Android …
Section 6 discusses the various machine learning algorithms used in this study. Section 7 …

… detection methods, a machine learning based method was proposed to identify the component
exposure vulnerability of Android applications. Analyzing Android application software …

… Dynamic analysis will judge by the actual execution of the indicators of test malware and …
analysis method is proposed based on machine learning algorithm, and a malicious application …

… study, will apply the Generative Adversarial Networks(GAN), which is a kind of deep learning
… generates data for images, to the field of Android malware analysis. GAN has been widely …

… By combining different machine learning techniques, we … , we analyze 20,914 Android
application containing 3,145 malicious samples on two different machine learning techniques, …

… Malware analysis on the Android platform has been an important issue as the platform is …
on a static analysis and machine learning techniques to obtain a considerably accurate Android …