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 Autism spectrum disorder detection using brain MRI image enabled deep learning with hybrid sewing training optimization Subject The topic of the resource Autism spectrum disorder; Hybrid sewing training optimization; Magnetic resonance imaging; Pivotal region extraction; Sewing training-based optimization Description An account of the resource Autism spectrum disorder (ASD) is brain enabled disorder representing behaviors in a repetitive manner and social deficits. In this paper, ASD is diagnosed using brain magnetic resonance imaging (MRI) enabled deep learning with a hybrid optimization algorithm. Also, the hybrid optimization algorithm utilized is hybrid sewing training optimization (HSTO) which trains ZFNet for ASD detection. Pre-processing of the MRI image is done by Wiener filter and the filtered image is fed for region of interest extraction. Moreover, pivotal region extraction is carried out by the proposed HSTO, which is finally allowed for ASD detection by ZFNet. The proposed HSTO is formed by combining sewing training-based optimization and hybrid leader-based optimization. Furthermore, the performance of HSTO_ZFNet is found by five performance metrics of accuracy with 95.7%, true negative rate with 92.6%, true positive rate with 93.7%, false negative rate with 68.7%, and false positive rate with75.9%. 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature. Creator An entity primarily responsible for making the resource Prasad V.; Sriramakrishnan G.V.; Diana Jeba Jingle I. Source A related resource from which the described resource is derived Signal, Image and Video Processing, Vol-17, No. 8, pp. 4001-4008. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11760-023-02630-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11760-023-02630-y</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161978997&amp;doi=10.1007%2Fs11760-023-02630-y&amp;partnerID=40&amp;md5=0ba3569ff5fa930d1570830fb90af984" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161978997&amp;doi=10.1007%2fs11760-023-02630-y&amp;partnerID=40&amp;md5=0ba3569ff5fa930d1570830fb90af984</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18631703 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 Prasad V., Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Jonnada Village, Andhra Pradesh, Vizianagaram District, 535005, India; Sriramakrishnan G.V., Department of CSE, Mohan Babu University, Sree Sainath Nagar, Andhra Pradesh, Tirupati, 517102, India; Diana Jeba Jingle I., Department of CSE, School of Engineering and Technology, Christ University, Karnataka, Bengaluru, India