Deep learning is currently widely used in a variety of applications, including computer vision
and natural language processing. End devices, such as smartphones and Internet-of-Things …

Traditional power grids are being transformed into smart grids (SGs) to address the issues in
the existing power system due to uni-directional information flow, energy wastage, growing …

There is a growing awareness that the complexity of managing Big Data is one of the main
challenges in the developing field of the Internet of Things (IoT). Complexity arises from …

Many factors affect short-term electric load, and the superposition of these factors leads to it
being non-linear and non-stationary. Separating different load components from the original …

Remote monitoring and controlling of the sub-station equipment is an important issue for the
power/energy management department which is normally done manually, or using an …

Existing deep learning systems in the Internet of Things (IoT) environments lack the ability of
assigning compute tasks reasonably which leads to resources wasting. In this letter, we …

The Internet of Things (IoT)-based health system provides patients and doctors a lot of
conveniences, doctors can diagnose patients in time through monitored health data …

Internet of things (IoT) enables the smart electrical grids (SEGs) to support a lot of tasks
throughout the generation, transmission, distribution and consumption of energy. Large …

5G wireless systems will extend mobile communication services beyond mobile telephony,
mobile broadband, and massive machine-type communication into new application …

IEEE 802.11 ah protocol is specifically designed to provide network connectivity to a large
number of energy efficient heterogeneous quality of service (QoS) Internet of things (IoT) …