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

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

[ad_1] Introduction Quantum key distribution (QKD) has emerged as a promising solution for ensuring secure communication in the era of quantum computing. With the rise of quantum technologies, traditional cryptographic protocols are at risk of…

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Neuromorphic computing for intelligent sensor networks – Complete Phd and Masters Thesis

Neuromorphic computing for intelligent sensor networks – Complete Phd and Masters Thesis

[ad_1] **Introduction** Neuromorphic computing is a cutting-edge technology that seeks to mimic the functionality of the human brain in electronic circuits. This has led to the development of intelligent sensor networks that can perform complex…

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Distributed ledger technology for decentralized energy trading – Complete Phd and Masters Thesis

Distributed ledger technology for decentralized energy trading – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, decentralized energy trading has gained significant attention as a means to empower consumers and increase the efficiency of energy markets. Distributed ledger technology, such as blockchain, has emerged as a…

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Secure multi-party computation for secure database queries – Complete Phd and Masters Thesis

Secure multi-party computation for secure database queries – Complete Phd and Masters Thesis

[ad_1] Introduction Secure multi-party computation (MPC) is a field of research aimed at enabling multiple parties to jointly compute a function on their private inputs while keeping those inputs confidential. With the increasing amount of…

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Reinforcement learning for personalized education – Complete Phd and Masters Thesis

Reinforcement learning for personalized education – Complete Phd and Masters Thesis

[ad_1] Introduction Reinforcement learning is a machine learning technique that has gained significant attention in recent years for its ability to enable computer systems to learn and make decisions in complex environments. Personalized education has…

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Explainable deep learning for medical diagnosis – Complete Phd and Masters Thesis

Explainable deep learning for medical diagnosis – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, deep learning technology has revolutionized the field of medical diagnosis by achieving high accuracy in detecting diseases from medical images and clinical data. However, one major drawback of deep learning…

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Federated transfer learning for cross-organization collaboration – Complete Phd and Masters Thesis

Federated transfer learning for cross-organization collaboration – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, organizations are increasingly recognizing the importance of collaboration and knowledge sharing to drive innovation and stay competitive in the market. However, one of the challenges that organizations face when…

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

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

[ad_1] Introduction In recent years, the field of quantum computing has gained increasing attention for its potential to revolutionize traditional optimization techniques. Quantum-inspired optimization algorithms, which draw inspiration from the principles of quantum mechanics, have…

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Interpretable machine learning for explainable recommendations – Complete Phd and Masters Thesis

Interpretable machine learning for explainable recommendations – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, machine learning has become increasingly popular in various domains such as e-commerce, healthcare, and finance. One application of machine learning that has gained significant interest is recommendation systems, which aim…

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Zero-shot learning for video retrieval – Complete Phd and Masters Thesis

Zero-shot learning for video retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning has emerged as a promising approach for video retrieval, as it allows the model to recognize object classes without any training data. This thesis aims to explore the potential of zero-shot…

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