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Graph neural networks for fake news detection – Complete Phd and Masters Thesis

[ad_1] Introduction: Fake news has become a pervasive issue in today’s society, with the spread of misinformation and disinformation on social media platforms posing significant challenges to the public discourse and democratic processes. As the…

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…

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

[ad_1] Introduction The growing popularity of multimedia data such as images, videos, and text has propelled the need for effective cross-modal information retrieval systems. Cross-modal information retrieval aims to retrieve relevant information across different types…

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…

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,…

Homomorphic encryption for secure natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing use of cloud computing and outsourced data processing, the need for secure methods of handling sensitive data has become more crucial. Homomorphic encryption is a promising solution that allows for…

Serverless computing for scientific workflows – Complete Phd and Masters Thesis

[ad_1] Introduction Serverless computing has emerged as a promising solution for executing scientific workflows in a cost-effective and scalable manner. By abstracting away the infrastructure management, serverless computing enables researchers to focus on developing and…

Zero-knowledge proofs for privacy-preserving electronic health records – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge proofs have emerged as a powerful tool for preserving privacy in electronic health records. With the increasing digitization of health information, there is a growing need to protect sensitive data from unauthorized…

Generative adversarial networks for facial expression synthesis – Complete Phd and Masters Thesis

[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in the field of artificial intelligence and computer vision for their ability to generate realistic images. In recent years, GANs have been successfully applied to…

Quantum machine learning for quantum tomography – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum machine learning has emerged as a promising field that combines the principles of quantum mechanics and machine learning to solve complex problems efficiently. In this study, we focus on the application of…

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