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Explainable deep learning for predictive maintenance – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, deep learning has gained popularity in various industries for its ability to automate complex tasks and make accurate predictions. One area where deep learning has shown significant promise is in…

Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for privacy-preserving credential systems – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have gained significant attention in recent years due to their ability to provide privacy-preserving credential systems. This thesis aims to explore the applications and…

Decentralized reputation systems using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralized reputation systems using blockchain have gained significant interest in recent years due to the potential they hold to revolutionize the way we establish trust in online interactions. By leveraging the transparency and…

Quantum-inspired optimization for airport gate assignment – Complete Phd and Masters Thesis

[ad_1] Introduction Airport gate assignment is a crucial logistical problem in airport operations, as it directly impacts the efficiency of the entire airport system. The assignment of gates to arriving and departing flights plays a…

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…

Differential privacy for privacy-preserving data analysis – Complete Phd and Masters Thesis

[ad_1] Introduction In the era of big data, privacy concerns have become a significant issue in data analysis. As organizations collect and analyze vast amounts of data from individuals, there is an increasing need to…

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

[ad_1] Introduction Quantum error correction is a critical aspect of quantum computing that aims to protect quantum information from errors caused by noise and other imperfections. In the context of quantum simulation, where quantum systems…

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…

Transfer learning for cross-modal retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction Transfer learning has emerged as a powerful technique in machine learning, where knowledge learned from one domain is transferred to another related domain to improve performance. In the context of cross-modal retrieval, transfer…

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…

Tag: information technology final year project topics