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dc.contributor.advisorTariq, Usman
dc.contributor.authorBachir, Zainab Raafat
dc.date.accessioned2019-06-11T05:34:07Z
dc.date.available2019-06-11T05:34:07Z
dc.date.issued2019-05
dc.identifier.other35.232-2019.24
dc.identifier.urihttp://hdl.handle.net/11073/16464
dc.descriptionA Master of Science thesis in Electrical Engineering by Zainab Raafat Bachir entitled, “Speed Estimation Using an Inertial Measurement Unit with Convolutional Neural Networks”, submitted in May 2019. Thesis advisor is Dr. Usman Tariq. Soft and hard copy available.en_US
dc.description.sponsorshipCollege of Engineeringen_US
dc.description.sponsorshipDepartment of Electrical Engineeringen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesAmerican University of Sharjah Student Worken_US
dc.relation.ispartofseriesMaster of Science in Electrical Engineering (MSEE)en_US
dc.subjectAccelerometeren_US
dc.subjectConvolutional Neural Networksen_US
dc.subjectGyroscopeen_US
dc.subjectInertial Measurement Uniten_US
dc.subjectWearable motion sensoren_US
dc.titleSpeed Estimation Using an Inertial Measurement Unit with Convolutional Neural Networksen_US
dc.typeThesisen_US


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