Deepfake detection using neural networks

Deepfake detection using neural networks

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

ग्रंथसूची विवरण
मुख्य लेखकों:	Sakib, Sadman, Abid, Mir Tarid Al, Tiana, Nures Saba, Asha, Wajida Anwar, Huq, Syed Mahbubul
अन्य लेखक:	Hossain, Muhammad Iqbal
स्वरूप:	थीसिस
भाषा:	English
प्रकाशित:	Brac University 2021
विषय:	Deepfake Detect Neural networks Video Images Artificial intelligence Digital media > Editing Information technology > Social aspects Neural networks (Computer science)
ऑनलाइन पहुंच:	http://hdl.handle.net/10361/15678

समान संसाधन

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Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
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Comparison of deep transfer learning models for cancer diagnosis
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Smoke detection using deep Convolutional neural network
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Malware detection in blockchain using CNN
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Clustering and detection of good and bad rail line anchors from images
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Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
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A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
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Deep 3D convolutional neural network in early detection of Lung cancer
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Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
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An introduction to neural networks /
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An efficient deep learning approach to detect skin Cancer
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Classification of different magnetic structures from image data using deep neural networks
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An efficient deep learning approach to detect skin cancer using image data
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Efficient image processing and machine learning approach for predicting retinal diseases
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A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
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