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

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

[ad_1] Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as a powerful tool for enhancing the scalability and privacy of blockchain networks. These cryptographic protocols allow for the verification of computations without revealing…

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Decentralized prediction markets using blockchain – Complete Phd and Masters Thesis

Decentralized prediction markets using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralized prediction markets have gained significant attention in recent years due to their potential to revolutionize the way individuals predict and exchange information about future events. By utilizing blockchain technology, these prediction markets…

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Quantum-inspired optimization for supply chain logistics – Complete Phd and Masters Thesis

Quantum-inspired optimization for supply chain logistics – Complete Phd and Masters Thesis

[ad_1] **Introduction** Quantum-inspired optimization has gained much attention in recent years as a promising approach to solve complex optimization problems efficiently. Supply chain logistics is a critical area where optimization plays a vital role in…

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Multi-modal learning for affective computing – Complete Phd and Masters Thesis

Multi-modal learning for affective computing – Complete Phd and Masters Thesis

[ad_1] Introduction: Multi-modal learning for affective computing is a rapidly growing field that aims to enhance the capabilities of computer systems to recognize, interpret, and respond to human emotions through multiple modalities such as facial…

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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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Graph neural networks for traffic flow prediction – Complete Phd and Masters Thesis

Graph neural networks for traffic flow prediction – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the application of Graph Neural Networks (GNNs) has gained significant attention in various fields such as social networks, biology, and recommendation systems. One of the promising applications of GNNs 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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Homomorphic encryption for privacy-preserving machine learning – Complete Phd and Masters Thesis

Homomorphic encryption for privacy-preserving machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, with the advancement of technology and the increasing amount of data being generated, privacy has become a major concern in the field of machine learning. As machine learning models are…

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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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