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Serverless computing for scientific workflows – Complete Phd and Masters Thesis

[ad_1] Introduction Serverless computing has emerged as a promising solution for executing scientific workflows in a cost-effective and scalable manner. By abstracting away the infrastructure management, serverless computing enables researchers to focus on developing and…

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…

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…

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,…

Quantum-inspired optimization for job shop scheduling – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-inspired optimization is a cutting-edge computational technique that leverages principles from quantum mechanics to solve complex optimization problems. In recent years, researchers have been exploring the potential of quantum-inspired optimization algorithms for various…

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…

Zero-shot learning for text classification – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning is a cutting-edge technique in machine learning that aims to address the challenge of classifying unseen classes without any prior training data. In the context of text classification, zero-shot learning involves…

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…

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

[ad_1] Introduction Quantum key distribution (QKD) is a revolutionary technology that uses the principles of quantum mechanics to provide secure communication channels. With the increasing reliance on mobile communication devices for sensitive transactions and data…

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