Artificial intelligence based classification of sparse electroencephalography signals
Meezan Hamid (CMS# 33025)
Artificial intelligence based classification of sparse electroencephalography signals - Lahore (unpublished) 2024 - xi, 38 p. :ill. ; 29.1 cm. +CD
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
Biomedical Engineering--Artificial neural network--Artificial intelligence--Matrix factorization--Machine learning--Vector machine--MS-BME--RCST
620 / MEE
Artificial intelligence based classification of sparse electroencephalography signals - Lahore (unpublished) 2024 - xi, 38 p. :ill. ; 29.1 cm. +CD
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
Biomedical Engineering--Artificial neural network--Artificial intelligence--Matrix factorization--Machine learning--Vector machine--MS-BME--RCST
620 / MEE