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Interpretable machine learning for medical diagnosis – Complete Phd and Masters Thesis

[ad_1] Introduction Interpretable machine learning has gained significant interest in the field of medical diagnosis due to its potential to improve decision-making processes and provide insights into the underlying factors contributing to disease diagnosis. With…

Graph neural networks for fraud detection in financial networks – Complete Phd and Masters Thesis

[ad_1] Introduction Financial fraud is a pervasive issue that continues to challenge financial institutions worldwide. The advent of advanced Machine Learning and Deep Learning techniques has provided novel solutions to tackle this problem. Graph neural…

Federated reinforcement learning for collaborative robotics – Complete Phd and Masters Thesis

[ad_1] Introduction Federated reinforcement learning is a promising approach to address the challenges of collaborative robotics, where multiple robots work together to achieve a common goal. This thesis explores the use of federated reinforcement learning…

Quantum key distribution for secure cloud storage – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum key distribution (QKD) has emerged as a promising technology for achieving secure communication in the era of cloud storage. With the increasing reliance on cloud services for storing sensitive information, the need…

Distributed ledger technology for decentralized identity management – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, there has been a growing interest in the potential of Distributed Ledger Technology (DLT) to revolutionize various industries, including identity management. Decentralized identity management using DLT has the potential to…

Zero-knowledge proofs for privacy-preserving data aggregation – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge proofs have emerged as a powerful tool in cryptography for ensuring the privacy and security of data during aggregation processes. In the era of big data, preserving the privacy of individuals’ sensitive…

Secure multi-party computation for secure linear regression – Complete Phd and Masters Thesis

[ad_1] Introduction Secure multi-party computation (MPC) is a cryptographic technique that allows multiple parties to jointly compute a function over their private inputs without revealing any information other than the output. This technology has gained…

Reinforcement learning for robotic manipulation – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, robotic manipulation has gained significant attention due to its potential applications in various industries such as manufacturing, healthcare, and agriculture. Reinforcement learning, a type of machine learning algorithm, has shown…

Decentralized social networks using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralization has been a hot topic in recent years, with many industries exploring ways to shift away from centralized systems towards more distributed and transparent alternatives. This shift has also been seen in…

Quantum-inspired optimization for vehicle routing problems – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-inspired optimization algorithms have gained significant attention in recent years due to their ability to solve complex optimization problems efficiently. One such problem that can benefit from quantum-inspired optimization is the vehicle routing…

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