Noise-tolerant chaos based cryptosystems for the security of digital images using machine learning
Material type:
TextPublication details: Islamabad (unpublished) 2022Description: xix, 97 p. ; 30 cm. +CD : illSubject(s): DDC classification: - 616.9 ARS
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Thesis
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Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical Engineering to the Faculty of Engineering and Applied Sciences
Includes bibliographical references.
Thesis supervisor: Dr. Jameel Ahmed
Thesis (M.Phil.)--Riphah International University, 2022
English
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