Designing a machine learning and deep learning frameworks for early pancreatic disease diagnosis (Record no. 36112)

MARC details
000 -LEADER
fixed length control field 00655nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230712162134.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230306b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 20183CSE0016
040 ## - CATALOGING SOURCE
Original cataloging agency PUL
Transcribing agency PUL
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 RED
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Raddy, P. Santosh
245 ## - TITLE STATEMENT
Title Designing a machine learning and deep learning frameworks for early pancreatic disease diagnosis
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bengaluru:
Name of publisher, distributor, etc. Presidency University,
Date of publication, distribution, etc. 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xi, 162 p.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Deep learning frameworks
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Chandra Shekhar M.
Relator term CON
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://hdl.handle.net/10603/470748">http://hdl.handle.net/10603/470748</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Current Library Homelibrary Shelving location Date acquired Full call number Barcode Date last seen Uniform Resource Identifier Price effective from Koha item type
        Access Restricted Reference Presidency University Library School of Engineering Computer Science Engineering 2023-03-06 006.31 RED T58 2023-03-06 http://hdl.handle.net/10603/470748 2023-03-06 Thesis

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