This systematic review comprehensively scrutinizes transfer learning methods applied to
Human Activity Recognition (HAR) using Inertial Measurement Unit (IMU) data. Our …

Visualization analysis is crucial in healthcare as it provides insights into complex data and
aids healthcare professionals in efficiency. Information visualization leverages algorithms to …

Edge Computing (EC) has gained significant traction in recent years, promising enhanced
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …

The detection of Activities of Daily Living (ADL) holds significant importance in a range of
applications, including elderly care and health monitoring. Our research focuses on the …

The reliable operation of power transformers is essential for grid stability, yet existing fault
detection methods often suffer from inaccuracies and high false alarm rates. This study …

Human Activity Recognition (HAR) systems are pivotal for numerous applications in
pervasive computing. The rapid proliferation of smart devices, including smartphones has …

Human activity recognition (HAR) in real-world settings has gained significance due to the
growth of Internet of Things (IoT) devices such as smartphones and smartwatches …

The premise for AI systems like personal assistants to provide guidance and suggestions to
an end-user is to understand, at any moment in time, the personal context that the user is in …

Building systems capable of automatically detecting and identifying activities performed by a
person, and also the context in which each activity is performed, is the essence of Human …