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.

Bibliografiske detaljer
Main Authors:	Sakib, Sadman, Abid, Mir Tarid Al, Tiana, Nures Saba, Asha, Wajida Anwar, Huq, Syed Mahbubul
Andre forfattere:	Hossain, Muhammad Iqbal
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	Deepfake Detect Neural networks Video Images Artificial intelligence Digital media > Editing Information technology > Social aspects Neural networks (Computer science)
Online adgang:	http://hdl.handle.net/10361/15678

Lignende værker

A machine learning approach to detect DeepFake videos
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Detecting Deepfake images using deep convolutional neural network
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Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
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An improved deepfake detection using deep learning
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Detection of Deepfake using computer vision and deep learning
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Udgivet: (2023)

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Detection of skin cancer using Convolutional neural network
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Udgivet: (2020)

Exploring deep features: deeper fully convolutional neural network for image segmentation
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Udgivet: (2017)

Drone detection by neural network using SURF feature and GLCM method
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Skin cancer detection and classification using multiple optimized deep convolutional neural network
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Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
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Real-time obscene scene nudity detection and blurring in a video clip
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Udgivet: (2023)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
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Udgivet: (2022)

Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
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An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
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Plant disease detection using convolutional neural network
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Deep learning based early Glaucoma detection
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Tomato leaf disease detection using convolutional neural network
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Brain tumor detection with convolutional neural network
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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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Udgivet: (2019)

Computer vision-based Bengali sign language to text generation
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Udgivet: (2022)

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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Early detection of cervical cancer using deep neural networks
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Semantic text extraction from CAPTCHA using Neural Networking
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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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Udgivet: (1995)

An efficient deep learning approach to detect skin Cancer
af: Islam, Ashfaqul, et al.
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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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