Doctor's cursive handwriting recognition system using deep learning / (Record no. 25030)

MARC details
000 -LEADER
fixed length control field 01180nam a2200205Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250725162649.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250725s9999 xx 000 0 und d
040 ## - CATALOGING SOURCE
Transcribing agency lcc
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number UGT CCIT BSCS .F35 2019
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Fajardo, Lovely Joy M.
Relator term author
245 #0 - TITLE STATEMENT
Title Doctor's cursive handwriting recognition system using deep learning /
Statement of responsibility, etc. Lovely Joy M. Fajardo, Nino Joshua A. Sorillo, Cia Dennise V. Tomines and Jaycel R. Garlit
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Manila :
Name of publisher, distributor, etc. National University,
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 92 leaves :
Other physical details color illustrations ;
Dimensions 28 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. Introduction -- Chapter 2. Related Literature Theoretical Background -- Chapter 3. Design and Methodology -- Chapter 4. Results and discussion -- Chapter 5. Conclusion and recommendations.
520 ## - SUMMARY, ETC.
Summary, etc. Handwriting is a skill to express thoughts, ideas and language. Over the years, medical doctores have been well-known for having illegible cursive handwritings and has been a generally accepted matter.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Sorillo, Nino Joshua A.;Tomines, Cia Dennise V.;Garlit, Jaycel R.
Relator term co-author;co-author;co-author
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Computer Science LRC - Main National University - Manila Thesis 07/25/2025 Donation   UGT CCIT BSCS .F35 2019 c.1 UGTHE000002269 07/25/2025 c.1 07/25/2025 Thesis