Fraud detection in energy consumption in smart gride

By: Material type: TextTextPublication details: Lahore 2022 Riphah International University Description: viii,57 p. : ill. ; 30 cm. + CDSubject(s): DDC classification:
  • 004 WAR
Dissertation note: Thesis (MS)--Riphah International University, 2022
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Thesis Thesis Lahore Raiwind Campus 004 WAR (Browse shelf(Opens below)) NOT for LOAN 59545

Submitted in fulfillment of the requirements for the degree of Master of Science in Computer Science at Faculty of Computing.

Includes bibliographic references.

Thesis Supervisor: Jasim Saeede

Thesis (MS)--Riphah International University, 2022

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