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Multi-modal learning for video captioning – Complete Phd and Masters Thesis

Multi-modal learning for video captioning – Complete Phd and Masters Thesis

[ad_1] Introduction Chapter 1: Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of the Thesis…

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Quantum error correction for quantum simulation – Complete Phd and Masters Thesis

Quantum error correction for quantum simulation – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum error correction is a critical aspect of quantum computing that aims to protect quantum information from errors caused by noise and other imperfections. In the context of quantum simulation, where quantum systems…

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Graph neural networks for fraud detection in financial networks – Complete Phd and Masters Thesis

Graph neural networks for fraud detection in financial networks – Complete Phd and Masters Thesis

[ad_1] Introduction Financial fraud is a pervasive issue that continues to challenge financial institutions worldwide. The advent of advanced Machine Learning and Deep Learning techniques has provided novel solutions to tackle this problem. Graph neural…

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Transfer learning for cross-modal retrieval – Complete Phd and Masters Thesis

Transfer learning for cross-modal retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction Transfer learning has emerged as a powerful technique in machine learning, where knowledge learned from one domain is transferred to another related domain to improve performance. In the context of cross-modal retrieval, transfer…

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Quantum key distribution for secure cloud storage – Complete Phd and Masters Thesis

Quantum key distribution for secure cloud storage – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum key distribution (QKD) has emerged as a promising technology for achieving secure communication in the era of cloud storage. With the increasing reliance on cloud services for storing sensitive information, the need…

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Distributed ledger technology for decentralized identity management – Complete Phd and Masters Thesis

Distributed ledger technology for decentralized identity management – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, there has been a growing interest in the potential of Distributed Ledger Technology (DLT) to revolutionize various industries, including identity management. Decentralized identity management using DLT has the potential to…

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Generative adversarial networks for text-to-image synthesis – Complete Phd and Masters Thesis

Generative adversarial networks for text-to-image synthesis – Complete Phd and Masters Thesis

[ad_1] Introduction: Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate realistic images from text descriptions. In the field of text-to-image synthesis, GANs have shown promising results in…

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Secure multi-party computation for secure linear regression – Complete Phd and Masters Thesis

Secure multi-party computation for secure linear regression – Complete Phd and Masters Thesis

[ad_1] Introduction Secure multi-party computation (MPC) is a cryptographic technique that allows multiple parties to jointly compute a function over their private inputs without revealing any information other than the output. This technology has gained…

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Quantum-resistant homomorphic encryption – Complete Phd and Masters Thesis

Quantum-resistant homomorphic encryption – Complete Phd and Masters Thesis

[ad_1] Introduction With the rise of quantum computing technology, current encryption methods are at risk of being compromised, leading to potential security breaches. In response to this threat, quantum-resistant cryptography has emerged as a promising…

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Quantum machine learning for quantum error correction – Complete Phd and Masters Thesis

Quantum machine learning for quantum error correction – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum computing is a rapidly evolving field that has the potential to revolutionize the way we process and analyze data. Quantum machine learning is an emerging area of research that combines principles of…

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