00898nam a22001817a 4500 Riphah International University 001.535 SUL Suleman Ata (18126) Classification of modality in self mixing signals using artificial intelligence techniques Islamabad (unpublished) 2018 xi, 54 p. : ill. ; 30 cm. +CD Submitted in fulfillment of the requirements for the degree of Master of Master of Sciences in Electrical Engineering to the Faculty of Engineering and Applied Sciences. Includes bibliographical references Thesis supervisor: Dr. Tassadaq Hussain Thesis (MS)--Riphah International University, 2018 English Artificial intelligence Self making signals Machine learning algorithms Self mixing interferometry Neural networks FEAS 0 0 0 1 RIU RIU 2018-08-28 Riphah International University 0 001.535 SUL 50099 2018-08-28 00:00:00 1 2018-08-28 TH 22867 22867