Abstract: In the last decade, automatic writer identification using a convolutional neural network (CNN) has been well studied. For further performance improvement of the writer identification task, a ...

Abstract: Human body communication (HBC) offers a promising alternative for efficient and secure data transmission in wearable healthcare systems by leveraging the body’s conductive properties. Using ...

Automatic detection and alarm of abnormal electrocardiogram (ECG) events play an important role in an ECG monitor system; however, popular classification models based on supervised learning fail to ...

Based on this project I wrote my master thesis (written in polish): https://www.overleaf.com/read/sfmhhkfhbwhy#d03529 The study analysed results obtained from various ...

Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. For example, it can help detect ...

This repository implements the unsupervised anomaly detection framework presented in: "Unsupervised anomaly detection of permanent-magnet offshore wind generators through electrical and ...

Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China ...