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.

Bibliografski detalji
Glavni autori:	Sakib, Sadman, Abid, Mir Tarid Al, Tiana, Nures Saba, Asha, Wajida Anwar, Huq, Syed Mahbubul
Daljnji autori:	Hossain, Muhammad Iqbal
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2021
Teme:	Deepfake Detect Neural networks Video Images Artificial intelligence Digital media > Editing Information technology > Social aspects Neural networks (Computer science)
Online pristup:	http://hdl.handle.net/10361/15678

Similar Items

A machine learning approach to detect DeepFake videos
od: Hassan, Md. Mahedi, i dr.
Izdano: (2021)

Detecting Deepfake images using deep convolutional neural network
od: Dhar, Arpita, i dr.
Izdano: (2022)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
od: Ishrak, Gazi Hasin, i dr.
Izdano: (2022)

An improved deepfake detection using deep learning
od: Paul, Annay, i dr.
Izdano: (2023)

Pneumonia Disease detection using the convolutional neural network
od: Ashrafee, Md. Iftid, i dr.
Izdano: (2024)

Detection of Deepfake using computer vision and deep learning
od: Rahman, Anisur, i dr.
Izdano: (2023)

Early detection of parkinson’s disease using image processing and artificial neural network
od: Rumman, Mosarrat, i dr.
Izdano: (2018)

End to end Bangla handwritten and scene text detection using convolutional neural network
od: Mahal, Somania Nur, i dr.
Izdano: (2018)

Detection of skin cancer using Convolutional neural network
od: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, i dr.
Izdano: (2020)

Exploring deep features: deeper fully convolutional neural network for image segmentation
od: Kamran, Sharif Amit, i dr.
Izdano: (2017)

Drone detection by neural network using SURF feature and GLCM method
od: Ahmed, Tanzia, i dr.
Izdano: (2018)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
od: Sakir, Adnan, i dr.
Izdano: (2023)

A multimedia producer in The Daily Star
od: Ayon, Md. Khalid Hussain
Izdano: (2017)

Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
od: Siddique, Labib Ahmed, i dr.
Izdano: (2022)

Image classification using deep neural network for efficient identification of traffic sign
od: Saha, Sourajit
Izdano: (2018)

Real-time obscene scene nudity detection and blurring in a video clip
od: Rizwana, Jesima, i dr.
Izdano: (2023)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
od: Mahbub, Riasat, i dr.
Izdano: (2022)

Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
od: Alvi, Md.Waseq Alauddin
Izdano: (2024)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
od: Ali, Syed Muaz
Izdano: (2023)

Plant disease detection using convolutional neural network
od: Hossain, Mohammad Shifat, i dr.
Izdano: (2021)

Deep learning based early Glaucoma detection
od: Islam, Aabrar, i dr.
Izdano: (2024)

Tomato leaf disease detection using convolutional neural network
od: Hasan, Md. Riazul, i dr.
Izdano: (2023)

Brain tumor detection with convolutional neural network
od: Galib, Abrar Tahmid, i dr.
Izdano: (2024)

Comparison of deep transfer learning models for cancer diagnosis
od: Joya, Nadia Islam, i dr.
Izdano: (2023)

Smoke detection using deep Convolutional neural network
od: Niloy, Wahidul Hasan, i dr.
Izdano: (2021)

Malware detection in blockchain using CNN
od: Alam, Afreen, i dr.
Izdano: (2021)

Clustering and detection of good and bad rail line anchors from images
od: Islam, Samiul, i dr.
Izdano: (2017)

Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
od: Shuhin, Syed Adiba, i dr.
Izdano: (2019)

Computer vision-based Bengali sign language to text generation
od: Tazalli, Tonjih, i dr.
Izdano: (2022)

A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
od: Faisal, Asm, i dr.
Izdano: (2024)

Early detection of cervical cancer using deep neural networks
od: Akhund, Atoshi, i dr.
Izdano: (2023)

Semantic text extraction from CAPTCHA using Neural Networking
od: Chowdhury, Iftekhar Kabir, i dr.
Izdano: (2022)

Deep 3D convolutional neural network in early detection of Lung cancer
od: Hossain, Khandoker Jobayer, i dr.
Izdano: (2019)

Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
od: Tasawar, Ihtyaz Kader, i dr.
Izdano: (2021)

An introduction to neural networks /
od: Anderson, James A.
Izdano: (1995)

An efficient deep learning approach to detect skin Cancer
od: Islam, Ashfaqul, i dr.
Izdano: (2022)

Classification of different magnetic structures from image data using deep neural networks
od: Ibn Hasib, Fahad, i dr.
Izdano: (2023)

An efficient deep learning approach to detect skin cancer using image data
od: Chowdhury, Yaser Al Rahman, i dr.
Izdano: (2023)

Efficient image processing and machine learning approach for predicting retinal diseases
od: Hasib, Mehadi Hasan, i dr.
Izdano: (2021)

A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
od: Gomes, Paul Richie, i dr.
Izdano: (2021)