Deep learning with multimodal data for healthcare / (Record no. 104058)

MARC details
000 -LEADER
fixed length control field 00975ntm a2200289 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field MY-KuUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260205151442.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field t||||fr|||| 000 0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field ta
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260205t20202020txua|||fr|||| 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency UMPSA
Language of cataloging eng
Transcribing agency UMPSA
Description conventions rda
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) RA393 .N87 2020 r Thesis
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nur Hafieza Ismail,
Relator term author.
245 #0 - TITLE STATEMENT
Title Deep learning with multimodal data for healthcare /
Statement of responsibility, etc. Nur Hafieza Binti Ismail
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Texas :
Name of producer, publisher, distributor, manufacturer Texas A&M University,
Date of production, publication, distribution, manufacture, or copyright notice 2020
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice © 2020
300 ## - PHYSICAL DESCRIPTION
Extent xii, 80 pages :
Other physical details illustrations ;
Dimensions 30cm.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
347 ## - DIGITAL FILE CHARACTERISTICS
Source rda
File type text file
Encoding format PDF
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Doctor of Philosophy) -- Texas A&M University - 2020
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references
610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Department of Computer Science and Engineering
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Healthcare
General subdivision Deep learning
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost Library of Congress Classification   Final Processing Reference UMPLIB PEKAN UMPLIB PEKAN 05/02/2026   RA393 .N87 2020 r Thesis T000001502 05/02/2026 1 05/02/2026 Thesis

Perpustakaan Universiti Malaysia Pahang Al-Sultan Abdullah
26600 Pekan, Pahang Darul Makmur
Phone: +609 431 5063 (Gambang) / +609 431 5035 (Pekan)
Email: umplibrary@umpsa.edu.my

Connect With Us