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dc.contributor.advisorZakaria, Amer
dc.contributor.advisorQaddoumi, Nasser
dc.contributor.authorMaricar, Mohammed Farook
dc.date.accessioned2024-02-26T09:31:59Z
dc.date.available2024-02-26T09:31:59Z
dc.date.issued2023-11
dc.identifier.other35.232-2023.55
dc.identifier.urihttp://hdl.handle.net/11073/25464
dc.descriptionA Master of Science thesis in Electrical Engineering by Mohammed Farook Maricar entitled, “Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging”, submitted in November 2023. Thesis advisor is Dr. Amer Zakaria and thesis co-advisor is Dr. Nasser Qaddoumi. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).en_US
dc.description.sponsorshipCollege of Engineeringen_US
dc.description.sponsorshipDepartment of Electrical Engineeringen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesMaster of Science in Electrical Engineering (MSEE)en_US
dc.subjectDeep Learningen_US
dc.subjectConvolutional neural networken_US
dc.subjectUneten_US
dc.subjectAttentionen_US
dc.subjectComplex inputsen_US
dc.subjectInverse scatteringen_US
dc.subjectMicrowave imagingen_US
dc.subjectBackpropagationen_US
dc.subjectCSIen_US
dc.subjectContrast source inversion (CSI)en_US
dc.titleDeep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imagingen_US
dc.typeThesisen_US


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