In an increasingly digital world, there are fast-paced developments in fields such as Artificial
Intelligence, Machine Learning, Data Mining, Digital Twins, Cyber-Physical Systems and the …

Distributed edge intelligence is a disruptive research area that enables the execution of
machine learning and deep learning (ML/DL) algorithms close to where data are generated …

Federated learning is a machine learning paradigm that emerges as a solution to the privacy-
preservation demands in artificial intelligence. As machine learning, federated learning is …

Diabetes mellitus is a global epidemic affecting an estimated 537 million adults with an
expected increase to 784 million by 2045. Diagnosed by elevated blood glucose it leads to …

With the rise of artificial intelligence, sensor-based human activity recognition (S-HAR) is
increasingly being employed in healthcare monitoring for the elderly, fitness tracking, and …

Sheet metal forming tools, like stamping presses, play an ubiquitous role in the manufacture
of several products. With increasing requirements of quality and efficiency, ensuring …

Abstract The Internet of Things (IoT) consists of heterogeneous devices such as wearables
and monitoring devices that collect data to provide autonomous decision-making and smart …

Human activity recognition systems are essential to enable many assistive applications.
Those systems can be sensor-based or vision-based. When sensor-based systems are …

The rise of intelligent systems and smart spaces has opened up new opportunities for
human–machine collaborations. Interactive Machine Learning (IML) contribute to fostering …

The development of the Internet of Things (IoT) paradigm and its significant spread as an
affordable data source has brought many challenges when pursuing efficient data collection …