Deep-Learning and IoT Emphasis in I-Cities

Abstract

Recently Egypt has witnessed developments and changes that in turn make significant improvements in deep-learning usage to cope with the digital transformation age, providing technological solutions in creating cities invested with the emphasises of deep learning and IoT. Intelligent Cities (Icities) solutions have to be multi-disciplinary including socio, cultural, environmental, and technical aspects. This paper will shed lights on the modern-technological transformation happening around us with a focus on deep-learning and IoT emphasis in I-Cites and how they are planned based on deep learning and feedback systems; furthermore, an analysis will be conducted for all services offered in planning an I-City based on monitoring collected data related to energy and water consumptions to minimize and optimize the waste, based on the feedback system and ensure an efficient utilization for the clean energy sources. The paper will explain the interconnectivity of deep-learning applications within the I-City, and how it is reflected within the structure of the city from buildings and security to energy production and optimization. IoT and Deep-learning fathomed a heavy reliance within the concept of shopping and entertainment, this is to be discussed scoping the integration of said factors with Virtual-Reality, hence proliferating our domain of defining I-Cites. © 2020 Institution of Engineering and Technology. All rights reserved.