Mehar Ullah

TL;DR: This article surveys emerging technologies related to pervasive edge computing for industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond communication networks and reinforces the perspective that the PEC paradigm is an extremely suitable and important deployment model for industrial communication networks.

TL;DR: This article demonstrates how the proposed approach provides an objective methodology that can be used to select the most suitable IoT platform for different business applications based on their particular requirements.

TL;DR: This paper attempts to identify the important factors of IoT platforms that can be consider before selecting an IoT platform, and aims to help companies choose an appropriate IoT platform from the huge number and variety of IoT platform available in the market.

TL;DR: This paper introduces a general approach to design a tailored solution to detect rare events in different industrial applications based on Internet of Things (IoT) networks and machine learning algorithms using a general framework based on three layers (physical, data and decision).

TL;DR: In this paper, a general approach to design a tailored solution to detect rare events in different industrial applications based on Internet of Things (IoT) networks and machine learning algorithms is introduced.