Smart city intersections may support connected automated vehicles in the future and are the
core of intelligent traffic management and control. In this work, we consider the traffic …

The Internet of Things (IoT) has revolutionized the connectivity of diverse sensing devices,
generating an enormous volume of data. However, applying machine learning algorithms to …

The demand for smart solutions to support people with dementia (PwD) is increasing. These
solutions are expected to assist PwD with their emotional, physical, and social well-being. At …

Digital Twins are evolving as a key component in modern systems with diverse applications
like remote prognostics, optimizing run-time operation, anomaly detection, and more. The …

Empowered by edge computing, resources and computation capabilities provided by edge
devices can be encapsulated as containerized services, and domain applications can be …

The distributed deep learning architecture can support the front-deployment of deep
learning systems in resource constrained Internet of Things devices and is attracting …

The use of unmanned aerial vehicles (UAVs) as flying base stations to support various tasks,
such as data collection, machine learning (ML) model training, and wireless communication …

Existing fashion recommendation systems encounter difficulties in using visual data for
accurate and personalized recommendations. This research describes an innovative end-to …

The metaverse, envisioned as the next digital frontier for avatar-based virtual interaction,
involves high-performance models. In this dynamic environment, users' tasks frequently shift …

With rapidly increasing distributed deep learning workloads in large-scale data centers,
efficient distributed deep learning framework strategies for resource allocation and workload …