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 /
Rizk , Hamada Mohamed Mohamed Elsayed
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 / 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 by Hamada Mohamed Mohamed Elsayed Rizk - Alexandria : Hamada Mohamed Mohamed Elsayed Rizk 2020 - 95 leaves : 30 cm
Includes a title page in Arabic
Thesis (Ph.D.)
Includes bibliographical references
.
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 / 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 by Hamada Mohamed Mohamed Elsayed Rizk - Alexandria : Hamada Mohamed Mohamed Elsayed Rizk 2020 - 95 leaves : 30 cm
Includes a title page in Arabic
Thesis (Ph.D.)
Includes bibliographical references
.