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Artificial intelligence application in covid-19 diagnosis and prediction using by ct scan / (Uzun, Özcan.)
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 Q335.5

b Item number .U98 2021

100 -MAIN ENTRY--PERSONAL NAME

a Personal name Uzun, Özcan.

245 -TITLE STATEMENT

a Title Artificial intelligence application in covid-19 diagnosis and prediction using by ct scan /

h Medium Thesis/Report

c Statement of responsibility, etc Özcan Uzun ; Thesis supervisor: Assoc. Prof. Sertan Serte.

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 2021.

300 -PHYSICAL DESCRIPTION

a Extent viii, 48 p. ;

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 Artificial intelligence

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

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

700 -ADDED ENTRY--PERSONAL NAME

a Personal name Serte, Sertan,

856 -ELECTRONIC LOCATION AND ACCESS

u Uniform Resource Identifier http://docs.neu.edu.tr/library/9168381927.pdf


Items
Location
barcode
Shelf
Call number
N/A9168381927GENQ335.5 .U98 2021
N/A9162055928GENQ335.5 .U98 2021

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