Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …

In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …

Rare events, especially those that could potentially negatively impact society, often require
humans' decision-making responses. Detecting rare events can be viewed as a prediction …

Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …

To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …

Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …

Human activity recognition plays a unique role in many important applications, including
ubiquitous computing, health-care services, and smart buildings. Due to the nonintrusive …

Wearable sensor based human activity recognition (HAR) has a broad range of applications
in healthcare, fitness, smart home, and surveillance. In spite of the substantial amount of …

For the imbalanced classification problems, most traditional classification models only focus
on searching for an excellent classifier to maximize classification accuracy with the fixed …

In our society, many fields have produced a large number of data streams. How to mining
the interesting knowledge and patterns from continuous data stream becomes a problem …