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Developing an app to help connect donated goods to charities – Complete Phd and Masters Thesis

Developing an app to help connect donated goods to charities – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s society, there has been a growing concern about the lack of resources available to charities and non-profit organizations. With the rise of technology, it has become increasingly important to find innovative…

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Blockchain applications for securing personal health records – Complete Phd and Masters Thesis

Blockchain applications for securing personal health records – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in utilizing blockchain technology to secure personal health records. With concerns about data breaches and privacy violations on the rise, blockchain offers a decentralized…

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

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

[ad_1] Introduction Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as a powerful cryptographic tool for verifiable multi-party computation. In this thesis, we explore the application of zk-SNARKs in facilitating secure and efficient multi-party…

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Quantum-inspired optimization for facility location problems – Complete Phd and Masters Thesis

Quantum-inspired optimization for facility location problems – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-inspired optimization, based on principles of quantum mechanics, has emerged as a promising approach for solving complex optimization problems efficiently. Facility location problems are important in various real-world applications such as supply chain…

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Interpretable machine learning for healthcare risk prediction – Complete Phd and Masters Thesis

Interpretable machine learning for healthcare risk prediction – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a significant increase in the use of machine learning algorithms in healthcare for various applications, including risk prediction, diagnostic imaging, personalized treatment, and data-driven decision making. However,…

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Zero-shot learning for relation extraction – Complete Phd and Masters Thesis

Zero-shot learning for relation extraction – Complete Phd and Masters Thesis

[ad_1] Introduction: Zero-shot learning for relation extraction is an emerging field in natural language processing that aims to extract relations between entities without requiring any labeled training data for those specific relations. Traditional relation extraction…

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Federated reinforcement learning for edge computing optimization – Complete Phd and Masters Thesis

Federated reinforcement learning for edge computing optimization – Complete Phd and Masters Thesis

[ad_1] Introduction With the rapid growth of Internet of Things (IoT) devices and the increasing demand for real-time data processing, edge computing has emerged as a promising solution to address the limitations of cloud computing.…

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Quantum key distribution for secure quantum communication – Complete Phd and Masters Thesis

Quantum key distribution for secure quantum communication – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum key distribution (QKD) is a method of secure communication that utilizes the principles of quantum mechanics to generate and distribute cryptographic keys. With the rise of quantum computing and the potential threat…

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Neuromorphic computing for spiking neural networks – Complete Phd and Masters Thesis

Neuromorphic computing for spiking neural networks – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing has emerged as a promising approach to developing brain-inspired computing systems that mimic the behavior of the human brain. Spiking neural networks, which are based on the principles of biological neural…

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Homomorphic encryption for secure image processing – Complete Phd and Masters Thesis

Homomorphic encryption for secure image processing – Complete Phd and Masters Thesis

[ad_1] Introduction Homomorphic encryption is a revolutionary technology that allows computations to be performed directly on encrypted data without the need to decrypt it. This breakthrough in cryptography has significant implications for secure image processing,…

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