D-ARTNET22 V1: a neural network framework against stolen digital artworks getting Non-Fungible Token (NFT) labels

D-ARTNET22 V1: a neural network framework against stolen digital artworks getting Non-Fungible Token (NFT) labels

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Manylion Llyfryddiaeth
Prif Awduron:	Dipro, Farhan Hasin, Simran, Sheikh Saif, Akhter, Mansura, Momo, Ramisa Fariha, Musharrat, Ramisa
Awduron Eraill:	Hossain, Muhammad Iqbal
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2024
Pynciau:	Non-Fungible Tokens (NFT) Digital art Convolutional Neural Net- works (CNN) You Only Look Once (YOLO) Adobe Photoshop CC Image forgery Image classification Object detection Neural networks (Computer science) Image processing > Digital techniques.
Mynediad Ar-lein:	http://hdl.handle.net/10361/23617

Eitemau Tebyg

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A comparative analysis of the different CNN-LSTM model caption generation of medical images
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An efficient way to convert 1D signal to 2D digital image using energy values
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Comparison of deep transfer learning models for cancer diagnosis
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Image classification using deep neural network for efficient identification of traffic sign
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Detecting anomalies in human eyes using structural similarity index measurement
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Cancer detection using image processing techniques based on cell counting, cell area measurement and clump detection
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Digital Image processing using MATLAB /
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Digital image processing : PIKS inside /
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Detecting Deepfake images using deep convolutional neural network
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Digital Image processing using MATLAB /
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Automatic Bengali image captioning using efficientNet-transformer network and vision transformer
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Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
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Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
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Practical algorithms for image analysis : description, examples, programs, and projects /
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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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Efficient image processing and machine learning approach for predicting retinal diseases
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Deepfake detection using neural networks
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Meta modernism: The emergence of a new era and the preservation of cultural artifacts through virtual reality and non-fungible tokens
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Brain tumor segmentation from MRI images using convolutional neural networks
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Cancer classification using deep learning from medical image data
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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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Single and multi-view 2D image processing for enhanced 3D object reconstruction
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A modified GNS map denoising approach for digital images
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Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
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An emergency based image filtering system
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