Predictive Modeling of Total Electron Content Data in the Ionosphere using Machine Learning Techniques
| dc.contributor.guide | H.G, Virani and Chandrasekhar, E | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Shenvi, Nayana Narayan | |
| dc.date.accessioned | 2025-11-25T08:30:12Z | |
| dc.date.available | 2025-11-25T08:30:12Z | |
| dc.date.awarded | 2024 | |
| dc.date.completed | 2024 | |
| dc.date.registered | ||
| dc.description.abstract | newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.researcherid | ||
| dc.identifier.uri | http://hdl.handle.net/10603/676079 | |
| dc.language | English | |
| dc.publisher.institution | Faculty of Engineering | |
| dc.publisher.place | Goa | |
| dc.publisher.university | Goa University | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Telecommunications | |
| dc.title | Predictive Modeling of Total Electron Content Data in the Ionosphere using Machine Learning Techniques | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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