Please use this identifier to cite or link to this item:
http://hdl.handle.net/11189/9986| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Periola, Ayodele Abiola | en_US |
| dc.contributor.author | Sumbwanyambe, Mbuyu | en_US |
| dc.date.accessioned | 2025-08-22T10:12:25Z | - |
| dc.date.available | 2025-08-22T10:12:25Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Periola, 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.isbn | 979-8-3503-1480-9 | - |
| dc.identifier.uri | http://hdl.handle.net/11189/9986 | - |
| dc.description.abstract | Ice 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.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | Computing | en_US |
| dc.subject | Networks | en_US |
| dc.subject | Astronomy | en_US |
| dc.subject | Neutrino presence points | en_US |
| dc.title | An underwater network for mini-submarine underwater observatory | en_US |
| dc.relation.conference | International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) | en_US |
| dc.identifier.doi | https://dx.doi.org/10.1109/icABCD59051.2023.10220457 | - |
| dc.type | Other | en_US |
| Appears in Collections: | Eng - Conference Proceedings | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Not Open Access.pdf | 22.1 kB | Adobe PDF | View/Open |
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