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Federated reinforcement learning for smart manufacturing – Complete Phd and Masters Thesis

[ad_1] Introduction: Federated reinforcement learning is a cutting-edge technique that combines the power of reinforcement learning with the distributed nature of federated learning. This approach has shown immense potential in various domains, including smart manufacturing.…

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.…

Quantum key distribution for quantum internet – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the concept of a quantum internet has become a topic of significant interest in the field of quantum information science. A quantum internet could potentially revolutionize communication by providing secure…

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…

Zero-knowledge proofs for anonymous authentication – Complete Phd and Masters Thesis

[ad_1] Introduction: Zero-knowledge proofs have gained significant attention in recent years due to their ability to provide secure authentication while maintaining user anonymity. This research focuses on utilizing zero-knowledge proofs for anonymous authentication, where users…

Generative adversarial networks for 3D object generation – Complete Phd and Masters Thesis

[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in the field of deep learning for their ability to generate realistic and high-quality data, including images, text, and even 3D objects. In recent years,…

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…

Tag: ms information technology management