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Graph neural networks for recommender systems – Complete Phd and Masters Thesis

[ad_1] Introduction Graph neural networks have gained significant attention in recent years for their ability to effectively model relationships and dependencies among entities in complex relational data. In the context of recommender systems, where the…

Homomorphic encryption for secure data processing in the cloud – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing reliance on cloud computing for data storage and processing, concerns about the security and privacy of data have become more prevalent. Homomorphic encryption offers a solution to these concerns by…

Zero-knowledge proofs for secure multi-party computation – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge proofs are a powerful cryptographic tool that allows one party to prove to another party that a statement is true without revealing any additional information beyond the validity of the statement itself.…

Reinforcement learning for personalized education – Complete Phd and Masters Thesis

[ad_1] Introduction Reinforcement learning is a machine learning technique that has gained significant attention in recent years for its ability to enable computer systems to learn and make decisions in complex environments. Personalized education has…

Federated transfer learning for cross-organization collaboration – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, organizations are increasingly recognizing the importance of collaboration and knowledge sharing to drive innovation and stay competitive in the market. However, one of the challenges that organizations face when…

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

[ad_1] Introduction: Quantum machine learning is a relatively new and exciting field that combines aspects of quantum mechanics and machine learning to solve complex problems in various domains. In recent years, quantum machine learning has…

Multi-modal learning for visual question answering – Complete Phd and Masters Thesis

[ad_1] Introduction Visual question answering (VQA) is a challenging task that involves understanding natural language questions about images and generating accurate answers. Multi-modal learning, which combines information from both visual and textual modalities, has shown…

Differential privacy for secure data publishing – Complete Phd and Masters Thesis

[ad_1] Introduction In the era of big data, the need for sharing and publishing data while protecting individual privacy has become increasingly important. Differential privacy has emerged as a prominent framework for achieving this balance…

Zero-shot learning for video retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning has emerged as a promising approach for video retrieval, as it allows the model to recognize object classes without any training data. This thesis aims to explore the potential of zero-shot…

Graph neural networks for protein-protein interaction prediction – Complete Phd and Masters Thesis

[ad_1] Introduction: Protein-protein interactions play a crucial role in various cellular processes and diseases. Understanding the intricate interactions between proteins is essential for drug discovery, disease diagnosis, and treatment. Graph neural networks (GNNs) have emerged…

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