This framework for human behavior monitoring aims to take a holistic approach to study,
track, monitor, and analyze human behavior during activities of daily living (ADLs). The …

Big data and cloud computing technology appeared on the scene as new trends due to the
rapid growth of social media usage over the last decade. Big data represent the immense …

One of the distinct features of this century has been the population of older adults which has
been on a constant rise. Elderly people have several needs and requirements due to …

In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-
driven approaches rely on good quality data during training, however, a shortage of high …

As the average age of the urban population increases, cities must adapt to improve the
quality of life of their citizens. The City4Age H2020 project is working on the early detection …

Smart city (SC) technologies can provide appropriate services according to citizens'
demands. One of the key enablers in a SC is the Internet of Things (IoT) technology, which …

In this study, the open‐circuit faults diagnosis and location issue of the neutral‐point‐
clamped (NPC) inverters are analysed. A novel fault diagnosis approach based on …

The Internet of Things (IoT) is a key and growing technology for many critical real-life
applications, where it can be used to improve decision making. The existence of several …

Data annotation is a time-consuming process posing major limitations to the development of
Human Activity Recognition (HAR) systems. The availability of a large amount of labeled …

Cane sugar crystallization is a non-linear and non-stationary process. Some key parameters
which significantly affect the process and the quality of the product such as crystal content …