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 Autism Spectrum Disorder: Automated Detection based on rs-fMRI images using CNN Subject The topic of the resource AAL116; ABIDE; ASD; CC200; CC400; CNN; resting-state fMRI Description An account of the resource Autism spectrum disorder (ASD) impacts approximately 1 in every 160 children globally and is classified as a neurodevelopmental condition. Image classification in neuroscience has advanced primarily due to convolutional neural networks (CNNs) and their capacity to provide better algorithms, more computing resources, and data. This study used a brain scan dataset to test the feasibility of utilizing CNN to detect ASD. Using functional connectivity patterns, the Autism Brain Imaging Exchange (ABIDE) data repository, which includes recordings of rest-state functional magnetic resonance imaging (rs-fMRI), the aim of using it was to distinguish between individuals who have Autism Spectrum Disorder (ASD) and those who are healthy controls. The proposed method effectively classified the two groups. According to the test findings, the suggested model has the ability to accurately detect ASD with a reliability rate of 92.22% when implemented on the ABIDE dataset using the CC200, CC400, and AAL116 brain atlases. The CNN model is computationally more efficient since it uses fewer parameters than other cutting-edge methods. 2023 IEEE. Creator An entity primarily responsible for making the resource Lamani M.R.; Julian Benadit P.; Vaithinathan K. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. 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/10.1109/InC457730.2023.10262873" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10262873</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174709944&amp;doi=10.1109%2FInC457730.2023.10262873&amp;partnerID=40&amp;md5=2cdf24d81f619091568074a4ecf839d1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174709944&amp;doi=10.1109%2fInC457730.2023.10262873&amp;partnerID=40&amp;md5=2cdf24d81f619091568074a4ecf839d1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 Lamani M.R., CHRIST (Deemed to Be University) Kengeri, Computer Science and Engineering, Bangalore, 560074, India; Julian Benadit P., CHRIST (Deemed to Be University) Kengeri, Computer Science and Engineering, Bangalore, 560074, India; Vaithinathan K., Karaikal Polytechnic College Computer Engineering, Puducherry, Karaikal, India