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 …

Internet of Things (IoT) allows billions of physical objects to be connected to collect and
exchange data for offering various applications, such as environmental monitoring …

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 …

Fog computing paradigm extends the storage, networking, and computing facilities of the
cloud computing toward the edge of the networks while offloading the cloud data centers …

The development of the smart ocean requires that various features of the ocean be explored
and understood. The Underwater Internet of Things (UIoT), an extension of the Internet of …

Fog computing uses one or more collaborative end users or near-user edge devices to
perform storage, communication, control, configuration, measurement and management …

Cloud services offer doctors and data scientists access to medical data from multiple
locations using different devices (laptops, desktops, tablets, smartphones, etc.). Therefore …

The Internet of Things (IoT) is an emerging classical model, envisioned as a system of
billions of small interconnected devices for posing the state-of-the-art findings to real-world …

Internet of Things (IoT) is gaining increasing popularity. Overwhelming volumes of data are
generated by IoT devices. Those data after analytics provide significant information that …

Internet of Vehicles and vehicular networks have been compelling targets for malicious
security attacks where several intrusion detection solutions have been proposed for …