Landmark based Audio Fingerprinting for Naval Vessels using Deep Learning / (Record no. 535394)

000 -LEADER
fixed length control field 00565nam a22001577a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Qualifying information Hard Cover.
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.3
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Muhammad Abdul Rehman Hashmi.
245 ## - TITLE STATEMENT
Title Landmark based Audio Fingerprinting for Naval Vessels using Deep Learning /
Statement of responsibility, etc. Muhammad Abdul Rehman Hashmi.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Islamabad :
Name of publisher, distributor, etc. PNEC - NUST,
Date of publication, distribution, etc. 2017.
300 ## - PHYSICAL DESCRIPTION
Extent 81 p. : ill. ;
Dimensions 30cm.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Thesis
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Electrical Engineering (Communication) MS-Thesis
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Dr. Rana Hammad Raza.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
-- 29930
700 ## - ADDED ENTRY--PERSONAL NAME
-- 29931
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Full call number Barcode Date last seen Price effective from Non-public note Koha item type
          Central Library (CL) Central Library (CL) Thesis 09/04/2020 621.3 CL-T-6167 09/04/2020 09/04/2020 Minute Sheet No. 0929/02/CL/Survey/5 dated 23rd April 2024 E-MIN ID 114741 Thesis
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