The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of
Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware …

In the context of the Internet of Things (IoT), Tiny Machine Learning (TinyML) and Big Data,
enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive …

Wearable and Internet of Things devices (IoT) are becoming ubiquitous in health
applications, such as movement disorders, rehabilitation, and activity monitoring. Wearable …

Participatory exposure research, which tracks behaviour and assesses exposure to
stressors like air pollution, traditionally relies on time-activity diaries. This study introduces a …

The operational characteristics of freight shipment will significantly change after the
implementation of Autonomous and Connected Trucks (ACT). This change will have a …

Wearable devices that have low-power sensors, processors, and communication
capabilities are gaining wide adoption in several health applications. The machine learning …

Wearable and Internet of Things (IoT) devices are becoming popular in several applications,
such as health monitoring, wide area sensing, and digital agriculture. These devices are …

Human activity recognition (HAR) serves as a fundamental component for the various
applications of smart homes. However, although existing methods can extract temporal …