Performance analysis of KNN-based brain disorder detection with different feature selection techniques and distance functions (Record no. 54617)

MARC details
000 -LEADER
fixed length control field 00976nam a22001937a 4500
040 ## - CATALOGING SOURCE
Transcribing agency Riphah International University
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.31
Author Mark SAA
100 ## - MAIN ENTRY--PERSONAL NAME
Authorship Muhammad Saad Ali (2969)
245 ## - TITLE STATEMENT
Title Performance analysis of KNN-based brain disorder detection with different feature selection techniques and distance functions
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Islamabad
Name of publisher (unpublished)
Date of publication 2023
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 56 p.
Illustrations : ill.
Dimensions ; 30 cm.
Accompanying material +CD
500 ## - GENERAL NOTE
General note A thesis submitted in the partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering to the Faculty of Engineering and Applied Sciences.
500 ## - GENERAL NOTE
General note Includes bibliographical references
500 ## - GENERAL NOTE
General note Thesis supervisor: Dr. Shaheryar Najam
502 ## - DISSERTATION NOTE
Dissertation note Thesis (MSEE)--Riphah International University, 2023
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Electrical Engineering
Keywords Feature selection technique
-- K-Nearest neighbors
-- Brain disorder
-- Machine learning
-- Distance functions
-- FEAS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
item type Thesis
Holdings
Not for loan Home library Current library Source of acquisition Full call number Barcode Copy number Koha item type
NOT for LOAN Main Campus Main Campus Riphah International University 621.31 SAA 102186 1 Thesis
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