The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

The trend of the era of the Internet of Everything has promoted the integration of various
industries and the Internet of Things (IoT) technology, and the scope of influence of the IoT is …

Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly
detection (AD). With the rapid increase in the number of Internet-connected devices, the …

Multi-sensor-based wearable human activity recognition (WHAR) is a research hotspot in
the field of ubiquitous computing. Extracting effective features from multi-sensor data is …

The paper discusses algorithmic priority inversion in mission-critical machine inference
pipelines used in modern neural-network-based cyber-physical applications, and develops …

With the increasing number of mobile devices and IoT devices across a wide range of real-
life applications, our mobile cloud computing devices will not cope with this growing number …

Human activity recognition (HAR) and, more broadly, activities of daily life recognition using
wearable devices have the potential to transform a number of applications, including mobile …

In recent years, the use of WiFi fingerprints for indoor positioning has grown in popularity,
largely due to the widespread availability of WiFi and the proliferation of mobile …

The development of Internet of Things (IoT) technologies has led to the widespread adoption
of monitoring networks for a wide variety of applications, such as smart cities, environmental …

Wearable human activity recognition (WHAR) using multi-sensors is a promising research
area in ubiquitous and wearable computing. Existing WHAR methods usually interact …