Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/9986
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dc.contributor.authorPeriola, Ayodele Abiolaen_US
dc.contributor.authorSumbwanyambe, Mbuyuen_US
dc.date.accessioned2025-08-22T10:12:25Z-
dc.date.available2025-08-22T10:12:25Z-
dc.date.issued2023-
dc.identifier.citationPeriola, A.A. & Sumbwanyambe, M. 2023. An underwater network for mini-submarine underwater observatory. (In: 2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Durban, 03-04 August 2023. p. 1-6). [https://dx.doi.org/10.1109/icABCD59051.2023.10220457]en_US
dc.identifier.isbn979-8-3503-1480-9-
dc.identifier.urihttp://hdl.handle.net/11189/9986-
dc.description.abstractIce melting in the Arctic enables the conduct of underwater neutrino astronomy in new regions with maritime resources. The presented research proposes a novel underwater network that is integrated with terrestrial computing entities to obtain underwater astronomy-associated data. In addition, the proposed network architecture enhances the conduct of underwater neutrino astronomy. This is done by increasing the potential neutrino presence points. Analysis shows that the use of the arctic region in addition to the existing region of Lake Baikal in comparison to the existing case (where only Lake Baikal is utilized) increases the potential neutrino presence points by an average of (28.3 – 65.7) %.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectComputingen_US
dc.subjectNetworksen_US
dc.subjectAstronomyen_US
dc.subjectNeutrino presence pointsen_US
dc.titleAn underwater network for mini-submarine underwater observatoryen_US
dc.relation.conferenceInternational Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)en_US
dc.identifier.doihttps://dx.doi.org/10.1109/icABCD59051.2023.10220457-
dc.typeOtheren_US
Appears in Collections:Eng - Conference Proceedings
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