a novel hybrid deep learning approach hpohdl chddf for detecting fetal growth fetal growth abnormalities and congenital heart diseases
| dc.contributor.guide | Dr. RASHMITA KHILAR | |
| dc.coverage.spatial | ||
| dc.creator.researcher | P. VIJAYALAKSHMI | |
| dc.date.accessioned | 2025-10-27T09:56:31Z | |
| dc.date.available | 2025-10-27T09:56:31Z | |
| dc.date.awarded | 2025 | |
| dc.date.completed | 2025 | |
| dc.date.registered | 2020 | |
| dc.description.abstract | newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | None | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.researcherid | ||
| dc.identifier.uri | http://hdl.handle.net/10603/669649 | |
| dc.language | English | |
| dc.publisher.institution | Department of Engineering | |
| dc.publisher.place | Chennai | |
| dc.publisher.university | Saveetha University | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science Information Systems | |
| dc.subject.keyword | Engineering and Technology | |
| dc.title | a novel hybrid deep learning approach hpohdl chddf for detecting fetal growth fetal growth abnormalities and congenital heart diseases | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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