Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AI-based wavelet and stacked deep learning architecture for detecting coronavirus (COVID-19) from chest X-ray images Subject The topic of the resource Accuracy; COVID-19; DarkNet19; Data augmentation; Deep learning; Discrete wavelet transform; ResNet50; VGG19; WavStaCovNet-19; X-ray images; Xception Description An account of the resource A novel coronavirus (COVID-19), belonging to a family of severe acute respiratory syndrome coronavirus 2 (SARs-CoV-2), was identified in Wuhan city, Hubei, China, in November 2019. The disease had already infected more than 681.529665 million people as of March 13, 2023. Hence, early detection and diagnosis of COVID-19 are essential. For this purpose, radiologists use medical images such as X-ray and computed tomography (CT) images for the diagnosis of COVID-19. It is very difficult for researchers to help radiologists to do automatic diagnoses by using traditional image processing methods. Therefore, a novel artificial intelligence (AI)-based deep learning model to detect COVID-19 from chest X-ray images is proposed. The proposed work uses a wavelet and stacked deep learning architecture (ResNet50, VGG19, Xception, and DarkNet19) named WavStaCovNet-19 to detect COVID-19 from chest X-ray images automatically. The proposed work has been tested on two publicly available datasets and achieved an accuracy of 94.24% and 96.10% on 4 classes and 3 classes, respectively. From the experimental results, we believe that the proposed work can surely be useful in the healthcare domain to detect COVID-19 with less time and cost, and with higher accuracy. 2023 Elsevier Ltd Creator An entity primarily responsible for making the resource Soundrapandiyan R.; Naidu H.; Karuppiah M.; Maheswari M.; Poonia R.C. Source A related resource from which the described resource is derived Computers and Electrical Engineering, Vol-108 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.compeleceng.2023.108711" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.compeleceng.2023.108711</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153535053&amp;doi=10.1016%2Fj.compeleceng.2023.108711&amp;partnerID=40&amp;md5=7b8a533c19c2f91829ef0aed2551f962" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153535053&amp;doi=10.1016%2fj.compeleceng.2023.108711&amp;partnerID=40&amp;md5=7b8a533c19c2f91829ef0aed2551f962</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 457906; CODEN: CPEEB Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Soundrapandiyan R., School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, India; Naidu H., ServiceNow, Telangana, Hyderabad, 500081, India; Karuppiah M., School of Computer Science and Engineering &amp; Information Science, Presidency University, Karnataka, Bengaluru, 560064, India; Maheswari M., Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, 600119, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India