1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Information and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/564572
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DC FieldValueLanguage
dc.coverage.spatialVehicle traffic monitoring and congestion prediction system using deep learning techniques
dc.date.accessioned2024-05-20T06:20:27Z-
dc.date.available2024-05-20T06:20:27Z-
dc.identifier.urihttp://hdl.handle.net/10603/564572-
dc.format.extentxix,141p.
dc.languageEnglish
dc.relationp.130-140
dc.rightsuniversity
dc.titleVehicle traffic monitoring and congestion prediction system using deep learning techniques
dc.title.alternative
dc.creator.researcherSuvitha, D
dc.subject.keyworddeep learning techniques
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordprediction system
dc.subject.keywordVehicle traffic
dc.description.note
dc.contributor.guideVijayalakshmi, M
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File31.49 kBAdobe PDFView/Open
02_prelim pages.pdf908.32 kBAdobe PDFView/Open
03_content.pdf15.54 kBAdobe PDFView/Open
04_abstract.pdf17.86 kBAdobe PDFView/Open
05_chapter 1.pdf489.97 kBAdobe PDFView/Open
06_chapter 2.pdf754.94 kBAdobe PDFView/Open
07_chapter 3.pdf435.35 kBAdobe PDFView/Open
08_chapter 4.pdf1.15 MBAdobe PDFView/Open
09_chapter 5.pdf1.14 MBAdobe PDFView/Open
10_chapter 6.pdf924.82 kBAdobe PDFView/Open
11_chapter7.pdf1.16 MBAdobe PDFView/Open
12_annexures.pdf111.38 kBAdobe PDFView/Open
80_recommendation.pdf60.93 kBAdobe PDFView/Open
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