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Quantum-safe cryptography for IoT devices – Complete Phd and Masters Thesis

Quantum-safe cryptography for IoT devices – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-safe cryptography is becoming increasingly important as quantum computing technology advances. With the potential to break traditional encryption methods, quantum computers pose a significant threat to the security of IoT devices. As more…

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Swarm robotics for environmental monitoring – Complete Phd and Masters Thesis

Swarm robotics for environmental monitoring – Complete Phd and Masters Thesis

[ad_1] Introduction Swarm robotics is a field of study that involves the coordination and cooperation of multiple robots working together to achieve a common goal. In recent years, swarm robotics has gained significant attention for…

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Edge computing for augmented reality – Complete Phd and Masters Thesis

Edge computing for augmented reality – Complete Phd and Masters Thesis

[ad_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 1.9 Definition of…

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AI-driven code refactoring tools – Complete Phd and Masters Thesis

AI-driven code refactoring tools – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of Artificial Intelligence (AI) in software development has gained significant attention. AI-driven code refactoring tools have emerged as a promising solution to automate the process of improving the…

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Generative adversarial networks for image enhancement – Complete Phd and Masters Thesis

Generative adversarial networks for image enhancement – Complete Phd and Masters Thesis

[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in recent years due to their ability to generate high-quality images. In the field of image enhancement, GANs have shown promising results in improving the…

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Homomorphic encryption for secure multi-party computation – Complete Phd and Masters Thesis

Homomorphic encryption for secure multi-party computation – Complete Phd and Masters Thesis

[ad_1] Introduction Homomorphic encryption is a revolutionary technique that allows computations to be performed on encrypted data without decrypting it, providing a secure way to process sensitive information in multi-party computation scenarios. In this thesis,…

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Federated learning for smart grids – Complete Phd and Masters Thesis

Federated learning for smart grids – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the deployment of smart grid technologies has revolutionized the way electricity is generated, distributed, and consumed. These technologies enable two-way communication between utility companies and consumers, allowing for real-time monitoring…

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Privacy-preserving biometric authentication – Complete Phd and Masters Thesis

Privacy-preserving biometric authentication – Complete Phd and Masters Thesis

[ad_1] Introduction Privacy-preserving biometric authentication is a crucial aspect of modern security systems, as it allows individuals to securely access their data and authenticate their identities without compromising their privacy. Biometric authentication involves the use…

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Distributed systems for edge computing – Complete Phd and Masters Thesis

Distributed systems for edge computing – Complete Phd and Masters Thesis

[ad_1] Introduction The emergence of edge computing has revolutionized the way data is processed and analyzed at the network edge, enabling real-time decision making and reducing latency. Distributed systems play a crucial role in supporting…

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Edge AI for predictive maintenance – Complete Phd and Masters Thesis

Edge AI for predictive maintenance – Complete Phd and Masters Thesis

[ad_1] Introduction Edge AI, or Artificial Intelligence at the edge, is becoming increasingly popular in various industries for its ability to process data closer to the source, reducing latency and improving efficiency. One of the…

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