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(Abegaz, Kedir Hussein.)
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 H61.4

b Item number .A24 2023

100 -MAIN ENTRY--PERSONAL NAME

a Personal name Abegaz, Kedir Hussein.

245 -TITLE STATEMENT

a Title Artificial Intelligence (AI)-Driven Ensemble and Boosting Models to Predict Covid-19 Mortality in Eastern Africa /

h Medium Thesis/Report

c Statement of responsibility, etc Kedir Hussein Abegaz ; Thesis supervisor: Prof. Dr. İlker Etikan.

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 2023.

300 -PHYSICAL DESCRIPTION

a Extent xi, 87 p. :

c Dimensions 30 cm.

b Other physical details ill. ;

502 -DISSERTATION NOTE

a Dissertation note Thesis (PHD)

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 Ensemble

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

a Topical term or geographic name as entry element Machine Learning

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

a Topical term or geographic name as entry element AdaBoost

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

a Topical term or geographic name as entry element ANFIS

700 -ADDED ENTRY--PERSONAL NAME

a Personal name Etikan, İlker,

856 -ELECTRONIC LOCATION AND ACCESS

u Uniform Resource Identifier http://docs.neu.edu.tr/library/9677110448.pdf


Items
Shelf
Call number
Location
barcode
GENH61.4 .A24 2023N/A9674014447
GENH61.4 .A24 2023N/A9677110448

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