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Quantum-inspired optimization for network resource allocation – Complete Phd and Masters Thesis

Quantum-inspired optimization for network resource allocation – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-inspired optimization has emerged as a promising approach for solving complex optimization problems in various domains. In the context of network resource allocation, the efficient utilization of resources is crucial for ensuring high…

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Quantum error correction for quantum metrology – Complete Phd and Masters Thesis

Quantum error correction for quantum metrology – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum technologies have become increasingly important in a wide range of scientific fields, with applications in quantum computing, quantum communication, and quantum metrology. Quantum error correction is crucial for the implementation of reliable…

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Federated reinforcement learning for multi-robot systems – Complete Phd and Masters Thesis

Federated reinforcement learning for multi-robot systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the development of multi-robot systems for various applications such as search and rescue, surveillance, and environmental monitoring. However, coordinating multiple robots to work…

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Quantum key distribution for secure industrial control systems – Complete Phd and Masters Thesis

Quantum key distribution for secure industrial control systems – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum key distribution (QKD) is a cutting-edge technology that utilizes principles of quantum mechanics to establish secure communication channels. With the increasing reliance on digital systems in industrial control systems, the need for…

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Homomorphic encryption for secure natural language processing – Complete Phd and Masters Thesis

Homomorphic encryption for secure natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing use of cloud computing and outsourced data processing, the need for secure methods of handling sensitive data has become more crucial. Homomorphic encryption is a promising solution that allows for…

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Serverless computing for scientific workflows – Complete Phd and Masters Thesis

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…

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

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…

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

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…

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

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…

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Interpretable machine learning for credit card fraud detection – Complete Phd and Masters Thesis

Interpretable machine learning for credit card fraud detection – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the increase in online transactions has led to a rise in credit card fraud cases. This has necessitated the development of more sophisticated fraud detection systems to protect consumers and…

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