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Zero-knowledge proofs for secure e-voting – Complete Phd and Masters Thesis

Zero-knowledge proofs for secure e-voting – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, electronic voting (e-voting) has gained popularity as a means to conduct secure and efficient elections. However, concerns about the security and integrity of e-voting systems have also been raised. One…

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Secure multi-party computation for collaborative machine learning – Complete Phd and Masters Thesis

Secure multi-party computation for collaborative machine learning – 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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Reinforcement learning for resource allocation in cloud computing – Complete Phd and Masters Thesis

Reinforcement learning for resource allocation in cloud computing – 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-resistant digital signatures – Complete Phd and Masters Thesis

Quantum-resistant digital signatures – Complete Phd and Masters Thesis

[ad_1] Introduction: As the era of quantum computing approaches, traditional digital signature algorithms are becoming increasingly vulnerable to attacks by quantum computers. Quantum computers have the potential to break widely used encryption schemes such as…

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Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for verifiable computation – Complete Phd and Masters Thesis

Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for verifiable computation – Complete Phd and Masters Thesis

[ad_1] Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) are cryptographic protocols that allow one party to prove to another party that they have knowledge of a certain statement without revealing any information about the…

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Quantum machine learning for materials discovery – Complete Phd and Masters Thesis

Quantum machine learning for materials discovery – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of materials discovery has undergone a rapid transformation due to the advancements in quantum machine learning techniques. Quantum machine learning combines concepts from quantum mechanics and machine learning…

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Quantum-inspired optimization for portfolio management – Complete Phd and Masters Thesis

Quantum-inspired optimization for portfolio management – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum-inspired optimization has gained significant attention in recent years for its potential to revolutionize traditional optimization techniques. This research focuses on applying quantum-inspired optimization algorithms to the domain of portfolio management, a complex…

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Interpretable machine learning for fraud detection – Complete Phd and Masters Thesis

Interpretable machine learning for fraud detection – Complete Phd and Masters Thesis

[ad_1] Introduction Interpretable machine learning has become increasingly important in the field of fraud detection as organizations seek to understand the decisions made by automated systems and comply with regulations such as GDPR. The ability…

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Differential privacy for location-based services – Complete Phd and Masters Thesis

Differential privacy for location-based services – Complete Phd and Masters Thesis

[ad_1] Introduction Differential privacy is a concept that has gained significant attention in recent years, particularly in the context of location-based services. With the increasing use of location data for various applications such as personalized…

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Zero-shot learning for image captioning – Complete Phd and Masters Thesis

Zero-shot learning for image captioning – Complete Phd and Masters Thesis

[ad_1] Introduction Chapter 1: Zero-shot Learning for Image Captioning 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…

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