Image Forgery Detection by Applying Deep Learning on Hand Crafted Features (Record no. 35497)
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082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
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Classification number | 004 |
Author Mark | MUH-MS |
100 ## - MAIN ENTRY--AUTHOR | |
Author Name | Muhammad Aqib Anwar (181498) |
245 ## - TITLE STATEMENT | |
Title | Image Forgery Detection by Applying Deep Learning on Hand Crafted Features |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of Publication | Islamabad |
Name of publisher, distributor, etc. | Department of Computer Science |
Date of publication, distribution, etc. | 2021 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Subject / Department | Computer Science |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="http://172.20.2.215:8185/jspui/bitstream/123456789/2802/1/TH0613%20MS%20CS.pdf">http://172.20.2.215:8185/jspui/bitstream/123456789/2802/1/TH0613%20MS%20CS.pdf</a> |
Link text | CLICK HERE TO GET THE SOFT COPY |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Thesis |
Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
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Computer Science | Air University Central Library Thesis Repository (5th Floor) | Air University Central Library Thesis Repository (5th Floor) | Computer Science | 07/17/2025 | 004 MUH-MS | TH0613 | 07/23/2025 | Thesis |