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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…

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…

Homomorphic encryption for privacy-preserving deep learning – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing use of deep learning in various industries, there is a growing concern about the privacy of sensitive data that is used to train these models. Homomorphic encryption has emerged as…

Serverless computing for big data analytics – Complete Phd and Masters Thesis

[ad_1] Introduction: Serverless computing has emerged as a promising technology for big data analytics, offering a scalable and cost-effective solution for processing and analyzing large volumes of data. With serverless computing, developers can focus on…

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…

Generative adversarial networks for text-to-image synthesis – Complete Phd and Masters Thesis

[ad_1] Introduction: Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate realistic images from text descriptions. In the field of text-to-image synthesis, GANs have shown promising results in…

Tag: ms information technology