ECG based biometric identification

By: Material type: TextTextPublication details: Islamabad unpublished 2018Description: 54 p. : ill. ; 30 cm. + CDSubject(s): DDC classification:
  • 006.4 TAH
Dissertation note: Thesis (MS)-- Riphah International University, 2018.
List(s) this item appears in: FEAS & DBS Thesis I-14 Campus
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Item type Current library Call number Copy number Status Date due Barcode
Thesis Thesis Main Campus 006.4 TAH (Browse shelf(Opens below)) 1 NOT for LOAN 50234

Submitted in fulfillment of the requirements for the degree of Master of Science in Electrical Engineering to the Faculty of Electrical Engineering.

Thesis supervisor: Dr. Faraz Akram

Includes bibliographical references

Thesis (MS)-- Riphah International University, 2018.

English

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