TH-SOF-2272-Efficient Deployment of Object Detection Model (YOLO) on NVIDIA Jetson Devices Through Model Quantization (Record no. 610819)

000 -LEADER
fixed length control field 00435nam a22001337a 4500
040 ## - CATALOGING SOURCE
Transcribing agency NUST
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 200
Author Mark THE
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Haady um Minallah
9 (RLIN) 125056
110 ## - MAIN ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Supervisor Dr. Ali Hassan
245 ## - TITLE STATEMENT
Title TH-SOF-2272-Efficient Deployment of Object Detection Model (YOLO) on NVIDIA Jetson Devices Through Model Quantization
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. ISLAMABAD:
Name of publisher, distributor, etc. NUST COLLEGE OF EME,
Date of publication, distribution, etc. 2024.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MS-CSE-20
9 (RLIN) 98461
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          College of Electrical & Mechanical Engineering (CEME) College of Electrical & Mechanical Engineering (CEME) Thesis 08/08/2024   200 THE TH-SOF-2272 08/08/2024 08/08/2024 Thesis
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