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A Comparative Study of Support Vector Machine and Convolutional Neural Network Models for Intrusion Detection / (Michael, Okah Onyekachi.)
LEADER
 naa   a22   7ar4500 

040 -CATALOGING SOURCE

a Original cataloging agency NEU GrandLibrary

041 -LANGUAGE CODE

a Language code of text/sound track or separate title eng

050 -LIBRARY OF CONGRESS CALL NUMBER

a Classification number TK5105

b Item number .M53 2024

100 -MAIN ENTRY--PERSONAL NAME

a Personal name Michael, Okah Onyekachi.

245 -TITLE STATEMENT

a Title A Comparative Study of Support Vector Machine and Convolutional Neural Network Models for Intrusion Detection /

c Statement of responsibility, etc Okah Onyekachi Michael ; Thesis supervisor: Prof. Dr. Rahib Abiyev.

h Medium Thesis/Report

260 -PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)

a Place of publication, distribution, etc Nicosia :

b Name of publisher, distributor, etc Near East University,

c Date of publication, distribution, etc 2024.

300 -PHYSICAL DESCRIPTION

a Extent xvi, 101 pages :

b Other physical details ill.;

c Dimensions 30 cm.

502 -DISSERTATION NOTE

a Dissertation note Thesis (Master)

504 -BIBLIOGRAPHY, ETC. NOTE

a Bibliography, etc Includes bibliographical references

546 -LANGUAGE NOTE

a Language note Text in English

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

a Topical term or geographic name as entry element Institute of Graduate Studies

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

a Topical term or geographic name as entry element Intrusion Detection System

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

a Topical term or geographic name as entry element CNN Model

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

a Topical term or geographic name as entry element SVM Model

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

a Topical term or geographic name as entry element Mechatronics

700 -ADDED ENTRY--PERSONAL NAME

a Personal name Abiyev, Rahib,

856 -ELECTRONIC LOCATION AND ACCESS

u Uniform Resource Identifier http://docs.neu.edu.tr/library/9697235804.pdf


Items
Call number
barcode
Shelf
Location
TK5105 .M53 20249693716803GENN/A
TK5105 .M53 20249697235804GENN/A

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