Aiming at the problem of low accuracy of traditional brain tumor detection, in this paper, a
combination of multimodal information fusion and convolution neural network detection …

This book introduces various machine learning methods for cyber security analytics. With an
overwhelming amount of data being generated and transferred over various networks …

In recent years, with the rapid development of the Internet of Things (IoT), various
applications based on IoT have become more and more popular in industrial and living …

As numerous new techniques for Android malware attacks have growingly emerged and
evolved, Android malware identification is extremely crucial to prevent mobile applications …

Malware is a sophisticated, malicious, and sometimes unidentifiable application on the
network. The classifying network traffic method using machine learning shows to perform …

Recently, security incidents such as sensitive data leakage and video/audio hardware
control caused by Android malware have raised severe security issues that threaten Android …

Thousands of malicious applications (apps) are created daily, modified with the aid of
automation tools, and released on the World Wide Web. Several techniques have been …

In recent years, with the rapid development of information technology, China has entered the
information age. Information technology has changed our life, but also affected the form of …

In the current research, cluster analysis has become a very good way to obtain biological
information by analyzing the brain gene expression data. In recent years, many experts have …

Recently, brain‐machine interfacing is very popular that link humans and artificial devices
through brain signals which lead to corresponding mobile application as supplementary …