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Interpretable machine learning for clinical decision support – Complete Phd and Masters Thesis

Interpretable machine learning for clinical decision support – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, machine learning algorithms have shown significant potential in providing decision support for various domains, including healthcare. However, the black-box nature of many machine learning models often poses challenges in their…

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Differential privacy for federated analytics – Complete Phd and Masters Thesis

Differential privacy for federated analytics – Complete Phd and Masters Thesis

[ad_1] Introduction Differential privacy has emerged as a promising technique for protecting the privacy of individuals in datasets while allowing for meaningful analysis to be conducted. With the rise of federated analytics, which involves the…

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Quantum error correction for fault-tolerant quantum computing – Complete Phd and Masters Thesis

Quantum error correction for fault-tolerant quantum computing – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum error correction is a crucial component in the development of fault-tolerant quantum computing. With the potential to revolutionize computing capabilities, quantum computing offers the possibility of solving problems that are currently intractable…

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Federated reinforcement learning for autonomous drone swarms – Complete Phd and Masters Thesis

Federated reinforcement learning for autonomous drone swarms – Complete Phd and Masters Thesis

[ad_1] Introduction Autonomous drone swarms have gained significant attention in various fields such as surveillance, search and rescue operations, and environmental monitoring. However, the effective coordination and collaboration among drones in a swarm pose a…

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Transfer learning for few-shot image classification – Complete Phd and Masters Thesis

Transfer learning for few-shot image classification – Complete Phd and Masters Thesis

[ad_1] Introduction Transfer learning has gained significant attention in the field of deep learning due to its ability to leverage knowledge gained from one task to improve learning performance on another related task. This is…

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Quantum key distribution for secure internet of things – Complete Phd and Masters Thesis

Quantum key distribution for secure internet of things – Complete Phd and Masters Thesis

[ad_1] Introduction The Internet of Things (IoT) is rapidly becoming an integral part of our daily lives, with a vast array of devices connected to the internet to improve efficiency, convenience, and communication. However, the…

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Distributed ledger technology for intellectual property management – Complete Phd and Masters Thesis

Distributed ledger technology for intellectual property management – Complete Phd and Masters Thesis

[ad_1] Introduction: In today’s digital age, the management and protection of intellectual property (IP) have become increasingly complex and challenging. With the rise of digital assets and globalized markets, traditional methods of IP management are…

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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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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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