1. Shodhganga@INFLIBNET
  2. Sri Padmavathi Womens University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/471694
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DC FieldValueLanguage
dc.coverage.spatialcomputer science
dc.date.accessioned2023-03-22T10:39:31Z-
dc.date.available2023-03-22T10:39:31Z-
dc.identifier.urihttp://hdl.handle.net/10603/471694-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleIdentifying Autism Spectrum Disorder at Early stage from variety of Data Accurtely using Efficient Automated Diagnosis Methodologies Based on Deep machine Learning Techniques
dc.title.alternative
dc.creator.researcherLakshmi Praveena, T
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideMuthu lakshmi, N.V.
dc.publisher.placeTirupati
dc.publisher.universitySri Padmavathi Womens University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2016
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions35
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title .pdfAttached File128.1 kBAdobe PDFView/Open
02_prelimnary.pdf501.74 kBAdobe PDFView/Open
03_contents.pdf65.89 kBAdobe PDFView/Open
04_abstract.pdf82.05 kBAdobe PDFView/Open
05_chapter 1.pdf960.79 kBAdobe PDFView/Open
06_chapter 2.pdf363.31 kBAdobe PDFView/Open
07_chpater 3.pdf1.05 MBAdobe PDFView/Open
08_chapter 4.pdf923.01 kBAdobe PDFView/Open
09_chapter 5.pdf2.06 MBAdobe PDFView/Open
10_annexure .pdf220.19 kBAdobe PDFView/Open
80_recommendation.pdf317.52 kBAdobe PDFView/Open
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