期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：7
页码：3627-3637
DOI：10.35629/5252-030734593462
语种：English
出版社：IJAEM JOURNAL
摘要：Currently, the detection of corona virus disease 2019 (COVID-19) is one of the main challenges in the world, given the rapid spread of the disease. Recent statistics indicate that the number of people diagnosed with COVID-19 is increasing exponentially, with more than 1.6 million confirmed cases; the disease is spreading to many countries across the world. We analyse the incidence of COVID-19 spreading across the world. We present an artificial-intelligence technique based on a deep convolutional neural network (CNN) to detect COVID19 patients using real-world datasets.
关键词：Convolutional Neural Network;Artificial Intelligence Technique;Image Processing;Identification;Diagnosis of Infection;covid-19
