AN END-TO-END FRAMEWORK FOR UNRESTRICTED AUTOMATIC LICENSE PLATE RECOGNITION USING SUPER-RESOLUTION GANS / Ibrahim Hamed El Shal

By:

Material type: Text

TextLanguage: English Summary language: English Publication details: 2022Description: p. ill. 21 cmSubject(s):

Genre/Form:

DDC classification:

Contents:

Dissertation note: Thesis (M.A.)—Nile University, Egypt, 2022 . Abstract: Abstract:

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Thesis	Main library	610/ I.E.E/ 2022 (Browse shelf(Opens below))	Not for loan

Previous	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	Next
Previous	610 / HUA دليل المراة الحيرانة لعلاج الكرش والبدانة	610 / HUA عالج نفسك وقوجسمك بالنخالة والحنطة وجنين القمح	610 / HUA الوباء الصامت 7 فيروسات تهدد كبدك	610/ I.E.E/ 2022 AN END-TO-END FRAMEWORK FOR UNRESTRICTED AUTOMATIC LICENSE PLATE RECOGNITION USING SUPER-RESOLUTION GANS /	610/ IS.A 2014 A 63-Way Character Recognition /	610 / JA. A 2006 عالج نفسك بالحلبة	610/K.E.E/ 2022 EVOLUTION OF OBJECT DETECTION, TRACKING, AND MOTION ESTIMATION ALONG WITH DEEP NEURAL NETWORKS/	Next

Supervisor: Hala Helmy Zayed

Thesis (M.A.)—Nile University, Egypt, 2022 .

"Includes bibliographical references"

Contents:

Abstract:

Text in English, abstracts in English.

There are no comments on this title.

to post a comment.