Cellular - based Indoor Localization Techniques Using Deep Learning : A Thesis Submitted to the Graduate School of Electronics , Communications and Computer Engineering : Egypt Japan University of Science and Technology (E - JUSTE) : In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Computer Science and Engineering / by Hamada Mohamed Mohamed Elsayed Rizk
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TextLanguage: English Summary language: Arabic Publication details: Alexandria : Hamada Mohamed Mohamed Elsayed Rizk 2020Description: 95 leaves : 30 cmOther title: - تقنيات تحديد المواقع داخل المباني اعتمادا على الإشارات الخلوية باستخدام التعلم العميق / مقدمة من حماده محمد محمد السيد رزق للحصول على درجة دكتوراة الفلسفه في هندسة و علوم الحاسب [Added title page title]
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Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي | CSE PhD. 2020 07 (Browse shelf(Opens below)) | C. 1 | Not for loan | 10014888 |
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Includes a title page in Arabic
Thesis (Ph.D.) Doctoral Egypt - Japan University of Science and Technology (E-JUST) - School of Electronics , Communications and Computer Engineering - Computer Science and Engineering Department 2020
Includes bibliographical references
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Issued also as a digital file (for more information please check our Digital Repository)
(ECCE) School of Electronics, Communications and Computer Engineering (CSE) Computer Science Engineering
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