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Reinforcement learning for self-driving vehicles – Complete Phd and Masters Thesis

Reinforcement learning for self-driving vehicles – Complete Phd and Masters Thesis

[ad_1] Introduction: Self-driving vehicles are an emerging technology that has the potential to transform transportation systems and improve road safety. Reinforcement learning, a subset of machine learning, plays a crucial role in enabling these vehicles…

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Quantum-resistant secure multi-party computation – Complete Phd and Masters Thesis

Quantum-resistant secure multi-party computation – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum computing has the potential to revolutionize the field of cryptography by breaking many of the commonly used encryption schemes. As quantum computers become more powerful, it is crucial to develop secure multi-party…

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Quantum machine learning for quantum state preparation – Complete Phd and Masters Thesis

Quantum machine learning for quantum state preparation – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum machine learning (QML) has emerged as an interdisciplinary field that combines quantum physics and machine learning techniques to solve complex computational problems. One of the key areas of research in QML is…

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Decentralized digital rights management using blockchain – Complete Phd and Masters Thesis

Decentralized digital rights management using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction As the digital world continues to expand rapidly, the issue of digital rights management (DRM) has become increasingly important. DRM refers to the technological protection and control measures implemented by content creators to…

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Multi-modal learning for visual-textual alignment – Complete Phd and Masters Thesis

Multi-modal learning for visual-textual alignment – Complete Phd and Masters Thesis

[ad_1] Introduction Multi-modal learning for visual-textual alignment is a rapidly growing research area that aims to bridge the gap between different modalities, such as images and text, in order to improve the performance of various…

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Interpretable machine learning for loan default prediction – Complete Phd and Masters Thesis

Interpretable machine learning for loan default prediction – Complete Phd and Masters Thesis

[ad_1] Introduction Machine learning algorithms are increasingly being used in a variety of applications, including loan default prediction. However, the black-box nature of many machine learning models makes it challenging to understand the reasons behind…

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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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Neuromorphic computing for biologically-inspired robotics – Complete Phd and Masters Thesis

Neuromorphic computing for biologically-inspired robotics – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing is a rapidly advancing field that seeks to mimic the biological neural networks of the brain in order to create more efficient and adaptable computing systems. This technology has the potential…

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Distributed ledger technology for decentralized file storage – Complete Phd and Masters Thesis

Distributed ledger technology for decentralized file storage – Complete Phd and Masters Thesis

[ad_1] Introduction Distributed ledger technology (DLT) has gained significant attention in recent years as a promising solution for decentralized file storage. The traditional centralized file storage systems are prone to data breaches, hacking, and censorship,…

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