A Case Study of Unmanned Aerial Vehicle (Drone) Technology and Its Applications in the Covid-19 Pandemic
Abdul Aabid†,*, Bisma Parveez‡, Nagma Parveen‡†, Sher Afghan Khan‡‡, and Omar Shabbir†
† Department of Engineering Management, College of Engineering, Prince Sultan University, P.O. Box 66833, Riyadh 11586, Saudi Arabia
‡ Department of Manufacturing and Materials Engineering, Faculty of Engineering, International Islamic University Malaysia 53100 Kuala Lumpur Malaysia
‡† Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia 53100 Kuala Lumpur Malaysia
‡‡ Department of Mechanical Engineering, Faculty of Engineering, International Islamic University Malaysia 53100 Kuala Lumpur, Malaysia
Corresponding Author Email: [email protected]
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Over the last two decades, unmanned aerial vehicles (UAV) or drones have become a vital tool with their enormous applications due to their versatility, agility, and applicability. On the other hand, a soft computing approach such as artificial intelligence (A.I.), the internet of things (IoT), neural network, fuzzy logic, genetic algorithm, and machine learning has become crucial in the design and application of UAV. The major significance of this work is to introduce the drone during the coronavirus disease 2019 (COVID-19) pandemic hence the technologies, proposed methods with soft computing in the COVID-19 has been critically analyzed. As a result, a critical analysis of predictable design/models of UAV’s used during the COVID-19 pandemic has been established and suggested the research gap for future work.