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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…

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…

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…

Decentralized data marketplaces using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralized data marketplaces have emerged as a revolutionary solution for the exchange of data in a secure and transparent manner. Utilizing blockchain technology, these marketplaces provide users with a platform to buy, sell,…

Quantum-inspired optimization for job shop scheduling – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-inspired optimization is a cutting-edge computational technique that leverages principles from quantum mechanics to solve complex optimization problems. In recent years, researchers have been exploring the potential of quantum-inspired optimization algorithms for various…

Multi-modal learning for audio-visual speech recognition – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in multi-modal learning for audio-visual speech recognition. This approach leverages both auditory and visual cues to improve the accuracy of speech recognition systems, particularly…

Differential privacy for privacy-preserving recommendation systems – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, the collection and analysis of personal data have become ubiquitous. With the rise of recommendation systems that utilize personal data to provide personalized recommendations, there is a growing concern…

Zero-shot learning for text classification – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning is a cutting-edge technique in machine learning that aims to address the challenge of classifying unseen classes without any prior training data. In the context of text classification, zero-shot learning involves…

Graph neural networks for molecular property prediction – Complete Phd and Masters Thesis

[ad_1] Introduction: Graph neural networks (GNNs) have emerged as a powerful tool in the field of machine learning for various applications, including molecular property prediction. The ability of GNNs to learn from the graph structure…

Transfer learning for cross-language text mining – Complete Phd and Masters Thesis

[ad_1] Introduction Transfer learning has gained significant interest in the field of natural language processing, particularly in cross-language text mining. The ability to transfer knowledge from one language to another has the potential to revolutionize…

Tag: ms information technology