Abstract The Internet of Things (IoT) is basically like a system for connecting computer
devices, mechanical and digital machines, objects, or individuals provided with the unique …

The last two decades have experienced a steady rise in the production and deployment of
sensing-and-connectivity-enabled electronic devices, replacing “regular” physical objects …

Fog computing is a paradigm that utilizes the advantages of both the cloud and the edge
devices providing quality services, reducing latency, providing mobility support, multi …

The Internet of Things (IoT) is the latest example of the System of Systems (SoS), demanding
for both innovative and evolutionary approaches to tame its multifaceted aspects. Over the …

Modern Internet-of-Things (IoT) applications are heavily data driven and often require
reliable data streams to achieve high-quality data mining. The concept of edge computing is …

Anomaly detection is concerned with identifying data patterns that deviate remarkably from
the expected behavior. This is an important research problem, due to its broad set of …

Recent years have disclosed a remarkable proliferation of compute-intensive applications in
smart cities. Such applications continuously generate enormous amounts of data which …

With the deep combination of both modern information technology and traditional
agriculture, the era of agriculture 4.0, which takes the form of smart agriculture, has come …

Cloud computing is changing the traditional ways of computing using its different forms and
architectural types such as Edge and Fog computing. These computing frameworks are the …

In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …