A datacentre stores information and manages data access in fast and reliable manner.
Failure of datacentre operation is not an option and can be catastrophic. Internet of things …

Human activity recognition (HAR) is an emerging area of study and research field that
explores the development of automated systems to identify and categorize human activities …

Advancements in conversational artificial intelligence (AI) have created unparalleled
opportunities to promote the independence and well-being of older adults, including people …

Deep learning models have gained prominence in human activity recognition using ambient
sensors, particularly for telemonitoring older adults' daily activities in real-world scenarios …

Human activity recognition (HAR) and abnormal/anomaly detection have significant
applications for health monitoring in a smart environment. Abnormal/anomaly prediction …

With the population aging, elderly health monitoring is triggering more studies on daily
activity recognition as the fundamental of ambient assisted living. It is remarkable that activity …

The intrusion detection system (IDS) is a promising technology for ensuring security against
cyber-attacks in internet-of-things networks. In conventional IDS, anomaly detection and …

Anomaly detection aims to identify unusual behavior or discriminate abnormal samples by
referring to the normal samples of data. Most exiting anomaly detection approaches train the …

Anomaly detection is a critical task in ensuring the security and safety of infrastructure and
individuals in smart environments. This paper provides a comprehensive analysis of recent …

Smart homes have been recently important sources for providing Activity of Daily Living
(ADL) data about their residents. ADL data can be a great asset while analyzing residents' …