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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 A Deep Learning Method for Autism Spectrum Disorder Subject The topic of the resource Autism; Deep learning; VGG-16 Description An account of the resource The present study uses deep learning methods to detect autism spectrum disorder (ASD) in patients from global multi-site database Autism Brain Imaging Data Exchange (ABIDE) based on brain activity patterns. ASD is a neurological condition marked by repetitive behaviours and social difficulties. A deep learning-based approach using transfer learning for automatic detection of ASD is proposed in this study, which uses characteristics retrieved from the intracranial brain volume and corpus callosum from the ABIDE data set. T1-weighted MRI scans provide information on the intracranial brain volume and corpus callosum. ASD is detected using VGG-16 based on transfer learning. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource George B.; Chandra Blessie E.; Resmi K.R. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-1106, pp. 1-9. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-7954-7_1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-7954-7_1</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188267619&amp;doi=10.1007%2F978-981-99-7954-7_1&amp;partnerID=40&amp;md5=96c728bdafdfe5f2e1ecc8394a1be059" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188267619&amp;doi=10.1007%2f978-981-99-7954-7_1&amp;partnerID=40&amp;md5=96c728bdafdfe5f2e1ecc8394a1be059</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981997953-0 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant George B., Santhigiri College, Vazhithala, India; Chandra Blessie E., Department of Artificial Intelligence and Machine Learning, Coimbatore Institute of Technology, Coimbatore, India; Resmi K.R., CHRIST(Deemed to be) University, Karnataka, Bengaluru, India