00869nam a22001697a 4500040003600000082001700036100002400053245009500077260003500172300003700207500017400244500004000418500004400458502005500502546001200557650013000569  cRiphah International University  a001.535bSUL  aSuleman Ata (18126)  aClassification of modality in self mixing signals using artificial intelligence techniques  aIslamabadb(unpublished)c2018  axi, 54 p.b: ill.c; 30 cm.e+CD  aSubmitted in fulfillment of the requirements for the degree of Master of Master of Sciences in Electrical Engineering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.  aIncludes bibliographical references  aThesis supervisor: Dr. Tassadaq Hussain  aThesis (MS)--Riphah International University, 2018  aEnglish  aArtificial intelligencevSelf making signalsvMachine learning algorithms vSelf mixing interferometryvNeural networksvFEAS