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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…

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…

Neuromorphic computing for event-based vision – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing is a cutting-edge technology that mimics the structure and function of the human brain using electronic circuits. This emerging field has shown great potential in revolutionizing artificial intelligence and computer vision…

Distributed ledger technology for decentralized autonomous organizations – Complete Phd and Masters Thesis

[ad_1] Introduction Distributed ledger technology (DLT) has gained significant attention in recent years, especially in the realm of decentralized autonomous organizations (DAOs). DAOs are organizations that operate without human intervention, using smart contracts and DLT…

Reinforcement learning for adaptive video streaming – Complete Phd and Masters Thesis

[ad_1] Introduction Reinforcement learning (RL) is a powerful machine learning technique that has gained significant attention in recent years due to its ability to enable intelligent decision-making in dynamic and uncertain environments. One such application…

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…

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

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

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

Neuromorphic computing for event-based vision – Complete Phd and Masters Thesis

Distributed ledger technology for decentralized autonomous organizations – Complete Phd and Masters Thesis

Reinforcement learning for adaptive video streaming – Complete Phd and Masters Thesis

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

Federated transfer learning for cross-device anomaly detection – Complete Phd and Masters Thesis

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