Reduction of mixed gaussian-impulse noise using deep convolutional neural network (Record no. 41577)

000 -LEADER
fixed length control field 00740nam a22002177a 4500
001 - CONTROL NUMBER
control field 41577
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhUET
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180924b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency 0
Modifying agency BD-DhUET
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 623.99
Item number TAR/2018
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Tariqul Islam, Mohammad
245 ## - TITLE STATEMENT
Title Reduction of mixed gaussian-impulse noise using deep convolutional neural network
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Dhaka
Name of publisher, distributor, etc. Department of Electrical and Electronic Engineering,(EEE) BUET
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 85p.
501 ## - WITH NOTE
With note One CD-ROM
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographies
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Thesis Supervisor Dr. S. M. Mahbubur Rahman
Relator term M. Sc. Thesis
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://lib.buet.ac.bd:8080/xmlui/handle/123456789/5035
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis
Holdings
Koha item type Location (home branch) Koha date last seen Source of classification or shelving scheme Withdrawn status Koha normalized classification for sorting Damaged status Lost status Piece designation (barcode) Price effective from Copy number Sublocation or collection (holding branch) Date acquired Shelving location Not for loan Koha full call number
ThesisCentral Library, BUET2018-09-24  623_990000000000000_TAR_2018  1168222018-09-241Central Library, BUET2018-09-15Reference section 623.99/TAR/2018