The Web of Things (WoT) paradigm was proposed first in the late 2000s, with the idea of
leveraging Web standards to interconnect all types of embedded devices. More than ten …

Abstract Structure health monitoring is a general term used to describe the process of
assessing the civil structure status and detecting and/or identifying any damage that occurs …

Existing centralized cloud-based solution is challenging to cope with the explosive growth of
data generated from massive IoT devices to meet the requirements of critical services …

Recently, Deep Learning (DL) techniques have shown their effectiveness for Human Activity
Recognition (HAR) tasks. However, due to the storage and computational requirements …

Complex IoT ecosystems often require the usage of Digital Twins (DTs) of their physical
assets in order to perform predictive analytics and simulate what-if scenarios. DTs are able …

Interoperable and secure data management techniques are fundamental for most of large-
scale Structural Health Monitoring (SHM) systems. Indeed, given the relevance of SHM …

Condition Monitoring (CM) is an extremely critical application of the Internet of Things (IoT)
within Industry 4.0 and Smart City scenarios, especially following the recent energy crisis …

Digital Twins are crucial in Industry 4.0 IoT scenarios, as they replicate physical assets and
enable important tasks such as predictive analytics, what-if scenarios and real time …

The Internet of Things (IoT) is nowadays affected by significant interoperability issues. One
of the most popular countermeasures is the Web of Things (WoT), proposed recently in a …

Assessing the integrity of industrial and civil appliances has become a priority worldwide.
Noteworthy, this goal requires a strong synergy between multiple tools, disciplines, and …