Artificial intelligence based classification of sparse electroencephalography signals

By: Material type: TextTextPublication details: Lahore (unpublished) 2024Description: xi, 38 p. :ill. ; 29.1 cm. +CDSubject(s): DDC classification:
  • 620 MEE
Dissertation note: Thesis (MS)--Riphah International University, 2024
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Item type Current library Call number Status Date due Barcode
Thesis Thesis Lahore Raiwind Campus 620 MEE (Browse shelf(Opens below)) NOT for LOAN 58679

Includes bibliographical references

A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science in Biomedical Engineering.

Thesis supervisor: Dr. Muhammad Akmal

Thesis (MS)--Riphah International University, 2024

English

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