In this paper a novel unsupervised classification method for electrocardiogram (ECG) signal classification is presented. The proposed approach classifies the input signal into normal and abnormal heartbeat patterns with a ...

This paper addresses the state estimation problem of linear discrete-time

time-varying stochastic systems with unknown inputs (UIs). It is shown that the globally

optimal unbiased minimum-variance filters may ...

As the size of software projects becomes larger, Software Defect Prediction (SDP) will play a key role in allocating testing resources reasonably, reducing testing costs, and speeding up the development process. Most SDP ...