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Zero-knowledge proofs for privacy-preserving electronic health records – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge proofs have emerged as a powerful tool for preserving privacy in electronic health records. With the increasing digitization of health information, there is a growing need to protect sensitive data from unauthorized…

Generative adversarial networks for facial expression synthesis – Complete Phd and Masters Thesis

[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in the field of artificial intelligence and computer vision for their ability to generate realistic images. In recent years, GANs have been successfully applied to…

Secure multi-party computation for privacy-preserving deep neural networks – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: In recent years, deep learning models have shown remarkable success in various applications such as image recognition, speech recognition, and natural language processing. However, the widespread adoption of these models raises concerns…

Quantum machine learning for quantum tomography – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum machine learning has emerged as a promising field that combines the principles of quantum mechanics and machine learning to solve complex problems efficiently. In this study, we focus on the application of…

Decentralized data marketplaces using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralized data marketplaces have emerged as a revolutionary solution for the exchange of data in a secure and transparent manner. Utilizing blockchain technology, these marketplaces provide users with a platform to buy, sell,…

Multi-modal learning for audio-visual speech recognition – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in multi-modal learning for audio-visual speech recognition. This approach leverages both auditory and visual cues to improve the accuracy of speech recognition systems, particularly…

Quantum error correction for quantum key distribution – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum key distribution (QKD) has emerged as a promising technology for secure communication, leveraging the principles of quantum mechanics to enable the distribution of encryption keys with unconditional security. However, the practical implementation…

Graph neural networks for molecular property prediction – Complete Phd and Masters Thesis

[ad_1] Introduction: Graph neural networks (GNNs) have emerged as a powerful tool in the field of machine learning for various applications, including molecular property prediction. The ability of GNNs to learn from the graph structure…

Federated reinforcement learning for intelligent energy management – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, there has been an increasing focus on intelligent energy management systems that can optimize energy usage and reduce waste. One promising approach to achieving this goal is through the use…

Transfer learning for cross-language text mining – Complete Phd and Masters Thesis

[ad_1] Introduction Transfer learning has gained significant interest in the field of natural language processing, particularly in cross-language text mining. The ability to transfer knowledge from one language to another has the potential to revolutionize…

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