Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

There has been rapid development in the number of Internet of Things (IoT) connected
nodes and devices in our daily life in recent times. With this increase in the number of …

Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

The large number of Internet-of-Things (IoT) devices that need interaction between smart
devices and consumers makes security critical to an IoT environment. Biometrics offers an …

Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …

As data of COVID-19 patients is increasing, the new framework is required to secure the
data collected from various Internet of Things (IoT) devices and predict the trend of disease …

Heart disease is one of the leading causes of death worldwide, and with early detection,
mortality rates can be reduced. Well-known studies have shown that the latest artificial …

Biometric technology has received a lot of attention in recent years. One of the most
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …

Smart factories are fostered by integrating intelligent systems and ICT technologies. The role
they play is crucial in the spread of Industry 4.0 and the economic growth of developed …