As an essential task in data mining, outlier detection identifies abnormal patterns in
numerous applications, among which clustering-based outlier detection is one of the most …

As an important technique for data pre-processing, outlier detection plays a crucial role in
various real applications and has gained substantial attention, especially in medical fields …

Recently, Wi-Fi-based human activity recognition using channel state information (CSI)
signals has gained popularity due to its potential features, such as passive sensing and …

Ubiquitous computing has been a green research area that has managed to attract and
sustain the attention of researchers for some time now. As ubiquitous computing …

This article investigates electrocardiogram (ECG) acquisition artifacts often occurring in
experiments due to human negligence or environmental influences, such as electrode …

Internet of Things (IoT) devices for the home have made a lot of people's lives better, but
their popularity has also raised privacy and safety concerns. This study explores the …

Many human activity recognition (HAR) systems have the ultimate application scenarios in
real-time, while most literature has limited the HAR study to offline models. Some mentioned …

Human activity recognition (HAR) is crucial to infer the activities of human beings, and to
provide support in various aspects such as monitoring, alerting, and security. Distinct …

In recent years, rural communities in China have been actively exploring a novel approach
to elderly care that integrates treatment with health preservation. This study aims to …

Human–robot collaboration has emerged as a prominent research topic in recent years. To
enhance collaboration and ensure safety between humans and robots, researchers employ …