Abstract: With the rapid growth of network cyber threats, there exists a growing need for advanced, scalable and highly accurate mechanisms for threat detection. AI based threat detection system is ...

1 School of Mechatronic Engineering, Mechanical Engineering, China University of Mining and Technology, Xuzhou, China. 2 Department of Manufacturing Engineering and Management, University of ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Background: Linear dimensionality reduction techniques are widely used in many applications. The goal of dimensionality reduction is to eliminate the noise of data and extract the main features of ...

In 1957, Rosenblatt published pioneering work on the first machine learning algorithm for artificial neurons, known as the perceptron. He helped revolutionize the field of artificial intelligence ...

Multiclass classification is of great interest for various applications, for example, it is a common task in computer vision, where one needs to categorize an image into three or more classes. Here we ...

Abstract: Most of the machine learning models have associated hyper-parameters along with their parameters. While the algorithm gives the solution for parameters, its utility for model performance is ...