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

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

[ad_1] Introduction In recent years, with the exponential growth of online multimedia content, there has been an increasing demand for effective video understanding systems. Video understanding plays a crucial role in various applications such as…

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

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

[ad_1] Introduction Quantum machine learning is a rapidly growing field that aims to combine the power of quantum computing with machine learning algorithms to solve complex problems in various domains. However, quantum computers are highly…

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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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Federated reinforcement learning for smart grid optimization – Complete Phd and Masters Thesis

Federated reinforcement learning for smart grid optimization – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the integration of artificial intelligence and machine learning techniques in the optimization of smart grid systems has gained significant attention. Smart grids are complex systems that require efficient optimization strategies…

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Quantum key distribution for 5G networks – Complete Phd and Masters Thesis

Quantum key distribution for 5G networks – Complete Phd and Masters Thesis

[ad_1] Introduction The advancement of technology has led to the development of faster and more efficient communication networks, with 5G being the latest generation of mobile networks. With the increasing amount of data being transmitted…

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Serverless computing for IoT data processing – Complete Phd and Masters Thesis

Serverless computing for IoT data processing – Complete Phd and Masters Thesis

[ad_1] Table of Contents: Chapter 1: Introduction 1.1 Background of the Study 1.2 Statement of the Problem 1.3 Objectives of the Study 1.4 Research Questions 1.5 Significance of the Study 1.6 Limitations of the Study…

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