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Comparative analysis of multiple conventional neural networks for landslide susceptibility mapping (Record no. 44702)

MARC details
000 -LEADER
fixed length control field	00893nam a22001937a 4500
040 ## - CATALOGING SOURCE
Transcribing agency	Riphah International University
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	005.8
Author Mark	BIL
100 ## - MAIN ENTRY--PERSONAL NAME
Authorship	Bilal Aslam (31520)
245 ## - TITLE STATEMENT
Title	Comparative analysis of multiple conventional neural networks for landslide susceptibility mapping
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication	Islamabad
Name of publisher	(unpublished)
Date of publication	2021
300 ## - PHYSICAL DESCRIPTION
Extent	xi, 60 p.
Illustrations	: ill.
Dimensions	; 30 cm.
Accompanying material	+ CD
500 ## - GENERAL NOTE
General note	Submitted in fulfillment of the requirement for the degree of Master of Sciences in Information Security to the Faculty of Computing.
500 ## - GENERAL NOTE
General note	Includes bibliographical references.
500 ## - GENERAL NOTE
General note	Thesis supervisor: Dr. Adeel Zafar
502 ## - DISSERTATION NOTE
Dissertation note	Thesis (MS)--Riphah International University, 2021
546 ## - LANGUAGE NOTE
Language note	English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject	Information security
Keywords	Landslide inventory mapping
--	Landslide conditioning factors
--	Multicollinearity analysis
--	CNN architectures
--	RISE
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	City Campus - II	City Campus - II	Riphah International University	005.8 BIL	53350	1	Thesis