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Decentralized social networks using blockchain – Complete Phd and Masters Thesis

Decentralized social networks using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralization has been a hot topic in recent years, with many industries exploring ways to shift away from centralized systems towards more distributed and transparent alternatives. This shift has also been seen in…

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Quantum-inspired optimization for vehicle routing problems – Complete Phd and Masters Thesis

Quantum-inspired optimization for vehicle routing problems – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-inspired optimization algorithms have gained significant attention in recent years due to their ability to solve complex optimization problems efficiently. One such problem that can benefit from quantum-inspired optimization is the vehicle routing…

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Interpretable machine learning for credit risk assessment – Complete Phd and Masters Thesis

Interpretable machine learning for credit risk assessment – Complete Phd and Masters Thesis

[ad_1] Introduction With the advancements in technology, machine learning algorithms are being used in various industries, including financial services. One of the key applications of machine learning in finance is credit risk assessment, where algorithms…

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Differential privacy for privacy-preserving machine learning – Complete Phd and Masters Thesis

Differential privacy for privacy-preserving machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Privacy-preserving machine learning has become a critical research area in the era of big data and artificial intelligence. As organizations collect and analyze vast amounts of sensitive data for various purposes, the need…

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

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

[ad_1] Introduction Quantum error correction (QEC) is a vital aspect of quantum computing and quantum sensing technologies. As quantum systems are extremely susceptible to errors caused by environmental noise and decoherence, the development of efficient…

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

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

[ad_1] Introduction Chapter 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…

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

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…

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Federated reinforcement learning for intelligent transportation systems – Complete Phd and Masters Thesis

Federated reinforcement learning for intelligent transportation systems – Complete Phd and Masters Thesis

[ad_1] Introduction With the rapid advancement of technology, intelligent transportation systems (ITS) have become a crucial component in optimizing traffic flow, reducing congestion, and improving overall transportation efficiency. Traditional reinforcement learning algorithms have been used…

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Quantum key distribution for secure satellite communication – Complete Phd and Masters Thesis

Quantum key distribution for secure satellite communication – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum key distribution (QKD) has emerged as a promising solution for ensuring secure communication in the era of quantum computing. With the rise of quantum technologies, traditional cryptographic protocols are at risk of…

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

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.…

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