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Homomorphic encryption for secure genomic data analysis – Complete Phd and Masters Thesis

Homomorphic encryption for secure genomic data analysis – Complete Phd and Masters Thesis

[ad_1] Introduction Genomic data analysis plays a crucial role in various fields such as healthcare, personalized medicine, and genetic research. However, the sensitive nature of genomic data poses significant privacy and security concerns. To address…

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Generative adversarial networks for image super-resolution – Complete Phd and Masters Thesis

Generative adversarial networks for image super-resolution – Complete Phd and Masters Thesis

[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate high-quality images. In particular, GANs have shown promise in the field of image super-resolution, which aims to…

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Secure multi-party computation for privacy-preserving clustering – Complete Phd and Masters Thesis

Secure multi-party computation for privacy-preserving clustering – Complete Phd and Masters Thesis

[ad_1] Introduction Secure multi-party computation (MPC) is a subfield of cryptography that enables parties to jointly compute a function of their inputs while keeping those inputs private. Privacy-preserving clustering is a data mining technique that…

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Quantum-resistant digital signature schemes – Complete Phd and Masters Thesis

Quantum-resistant digital signature schemes – Complete Phd and Masters Thesis

[ad_1] Introduction: As the era of quantum computing rapidly approaches, the security of traditional cryptographic algorithms is becoming increasingly threatened. In particular, digital signature schemes are at risk of being broken by quantum computers, leading…

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Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for privacy-preserving credential systems – Complete Phd and Masters Thesis

Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for privacy-preserving credential systems – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have gained significant attention in recent years due to their ability to provide privacy-preserving credential systems. This thesis aims to explore the applications and…

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Federated transfer learning for cross-device anomaly detection – Complete Phd and Masters Thesis

Federated transfer learning for cross-device anomaly detection – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, with the rapid advancement of technology and the proliferation of smart devices, the need for effective anomaly detection techniques has become crucial. Anomaly detection plays a vital role in identifying…

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Decentralized reputation systems using blockchain – Complete Phd and Masters Thesis

Decentralized reputation systems using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralized reputation systems using blockchain have gained significant interest in recent years due to the potential they hold to revolutionize the way we establish trust in online interactions. By leveraging the transparency and…

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Quantum-inspired optimization for airport gate assignment – Complete Phd and Masters Thesis

Quantum-inspired optimization for airport gate assignment – Complete Phd and Masters Thesis

[ad_1] Introduction Airport gate assignment is a crucial logistical problem in airport operations, as it directly impacts the efficiency of the entire airport system. The assignment of gates to arriving and departing flights plays a…

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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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Interpretable machine learning for medical diagnosis – Complete Phd and Masters Thesis

Interpretable machine learning for medical diagnosis – Complete Phd and Masters Thesis

[ad_1] Introduction Interpretable machine learning has gained significant interest in the field of medical diagnosis due to its potential to improve decision-making processes and provide insights into the underlying factors contributing to disease diagnosis. With…

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