Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …

With the development of IoT technology and low-cost indoor air quality (IAQ) sensors, the IoT-
based IAQ monitoring platform has garnered significant research interest and demonstrated …

The Internet of Things (IoT) introduces a new challenge for Database Management Systems
(DBMS). In IoT, large numbers of sensors are used in daily lives. These sensors generate a …

Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence (AI)
technologies with the Internet of Things (IoT) infrastructure to achieve more efficient IoT …

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 …

A network of actual physical objects or “IoT components” linked to the internet and equipped
with sensors, electronics, software, and network connectivity is known as the Internet of …

The DoD's artificial intelligence (AI) strategy requires the delivery of transformative and
disruptive capabilities that impact the “character of the future battlefield and the pace of …

With the rise of Internet of Things (IoT), low-cost resource-constrained devices have to be
more capable than traditional embedded systems, which operate on stringent power …

The depth development and widespread application of edge intelligence technology based
on the Internet of Things has led to edge-cloud collaboration and related research. In recent …

Monitoring the indoor environment of historic buildings helps to identify potential risks,
provide guidelines for improving regular maintenance, and preserve cultural artifacts …