Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/2895
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dc.contributor.authorSalam, Abdus-
dc.contributor.authorMahmud, Rasel-
dc.contributor.authorIslam, Tohedul-
dc.contributor.authorMukta, Saddam-
dc.contributor.authorShatabda, Swakkhar-
dc.date.accessioned2025-10-13T04:20:44Z-
dc.date.available2025-10-13T04:20:44Z-
dc.date.issued2025-
dc.identifier.issn0018-9162-
dc.identifier.urihttp://dspace.aiub.edu:8080/jspui/handle/123456789/2895-
dc.description.abstractWe comprehensively review a preliminary understanding of Mamba and its evolution. We present a taxonomy and provide a detailed architecture description, diving into reviews of existing architecture variants. We also highlight the challenges and open issues confronted by Mamba to inspire future research agendas.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMachine Learningen_US
dc.titleA Comprehensive Survey on Mamba: Architectures, Challenges, and Opportunitiesen_US
dc.typeArticleen_US
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