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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…

Quantum error correction for quantum communication – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum communication has the potential to revolutionize the way we transmit and process information by taking advantage of the unique properties of quantum mechanics. However, quantum systems are inherently susceptible to errors due…

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…

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

[ad_1] Introduction: Transfer learning has emerged as a powerful technique in the field of machine learning, allowing models trained on one task or dataset to be adapted to perform well on another task or dataset.…

Homomorphic encryption for secure data retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction Homomorphic encryption is a revolutionary technology that allows for computations to be performed on encrypted data without decrypting it. This provides a secure way to outsource data storage and processing to third-party servers…

Secure multi-party computation for privacy-preserving data mining – Complete Phd and Masters Thesis

[ad_1] Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis 1.9 Definition of…

Reinforcement learning for dynamic pricing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, dynamic pricing has become a popular strategy among businesses to optimize pricing strategies based on various factors such as demand, competition, and market conditions. With the advancement of machine learning…

Explainable deep learning for autonomous driving – Complete Phd and Masters Thesis

[ad_1] Introduction Autonomous driving is an emerging technology that has the potential to revolutionize transportation by making vehicles safer, more efficient, and convenient. Deep learning, a subset of artificial intelligence, has shown great promise in…

Quantum-resistant key exchange protocols – Complete Phd and Masters Thesis

[ad_1] Introduction The rise of quantum computing technology poses a significant threat to the security of current key exchange protocols used in cryptographic systems. Quantum computers have the potential to break traditional encryption schemes, rendering…

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