As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …

The use of IoT has become pervasive and IoT devices are common in many domains.
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …

Artificial intelligence (AI) research and market have grown rapidly in the last few years, and
this trend is expected to continue with many potential advancements and innovations in this …

With the advent of rapid developments, large number of heterogeneous devices is able to
connect with the help of IOT technology. Although IOT possess very complex architecture …

Wireless sensor networking is being used extensively in agricultural activities to increase
productivity and reduce losses in various ways. The greenhouse simplifies the concept of …

Federated learning (FL) is an emerging technique used to collaboratively train a machine-
learning model using the data and computation resources of mobile devices without …

Computation offloading is the solution for IoT devices of limited resources and high-cost
processing requirements. However, the network related issues such as latency and …

Smart monitoring, particularly at intersections, is a promising service that is being
considered for the concept of smart cities. A network of light detection and ranging (LIDAR) …

As smartphone notifications increase, so does the effort required to handle them effectively.
Previous research has proposed various notification management features, but empirical …

The ever-increasing widespread use of the Internet of Things and its applications has
generated massive amounts of data. IoT sensor-generated datasets typically have a time …