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Image Forgery Detection by Applying Deep Learning on Hand Crafted Features

By:

Muhammad Aqib Anwar (181498)

Publication details: Islamabad Department of Computer Science 2021Subject(s):

Computer Science

DDC classification:

004 MUH-MS

Online resources:

CLICK HERE TO GET THE SOFT COPY

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Thesis	Air University Central Library Thesis Repository (5th Floor) Computer Science	Computer Science	004 MUH-MS (Browse shelf(Opens below))	Available	TH0613

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Previous	004 MUH-MS Cortex Inspired Ensemble Based Network Intrusion Detection (CI- EnsID) with CD	004 MUH-MS Sales Prediction Of Products By Ensemble Of Time Series	004 MUH-MS Classification of Cardiac Abnormalities using 12 Lead ECG Recordings	004 MUH-MS Image Forgery Detection by Applying Deep Learning on Hand Crafted Features	004 MUH-MSAI Anomaly Detection in Traffic Surveillance Videos using Spatio-Temporal Analysis	004 MUH-MSAI Bayesian Networks Structure Learning Using Generalized Practice Swarm Optimization Algorithm	004 MUH-MSAI Recognition of Game Player Attributes Using Smartphone Sensors and Electron Cephalography	Next

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