Smartphones are now nearly ubiquitous; their numerous built-in sensors enable continuous
measurement of activities of daily living, making them especially well-suited for health …

Advancements in smartphone sensor technologies have significantly enriched the field of
human activity recognition, facilitating a wide array of applications from health monitoring to …

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 …

Human activity recognition (HAR) identifies people's motions and actions in daily life. HAR
research has grown with the popularity of internet-connected, wearable sensors that capture …

Given the ubiquity of mobile devices, understanding the context of human activity with non-
intrusive solutions is of great value. A novel deep neural network model is proposed, which …

Campus violence is a common social phenomenon all over the world, and is the most
harmful type of school bullying events. As artificial intelligence and remote sensing …

One key objective of artificial intelligence involves the continuous adaptation of machine
learning models to new tasks. This branch of continual learning is also referred to as lifelong …

Smartphones are increasing ubiquitously due to the need and demand in the modern era.
The world is transmuting into a global village with the cumulation of smart devices …

Background: Smartphones are now nearly ubiquitous; their numerous built-in sensors
enable continuous measurement of activities of daily living, making them especially well …

Human activity recognition (HAR) is the process of classifying a person's actions, and it is an
essential task for many human‐centered applications. Multi‐instance learning (MIL) is a …