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Transfer learning for few-shot image classification – Complete Phd and Masters Thesis

[ad_1] Introduction Transfer learning has gained significant attention in the field of deep learning due to its ability to leverage knowledge gained from one task to improve learning performance on another related task. This is…

Quantum key distribution for secure internet of things – Complete Phd and Masters Thesis

[ad_1] Introduction The Internet of Things (IoT) is rapidly becoming an integral part of our daily lives, with a vast array of devices connected to the internet to improve efficiency, convenience, and communication. However, the…

Zero-knowledge proofs for secure e-voting – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, electronic voting (e-voting) has gained popularity as a means to conduct secure and efficient elections. However, concerns about the security and integrity of e-voting systems have also been raised. One…

Generative adversarial networks for data augmentation – Complete Phd and Masters Thesis

[ad_1] Introduction: Generative adversarial networks (GANs) have emerged as a powerful tool for data augmentation in recent years. Data augmentation is a crucial technique in machine learning and computer vision tasks, as it allows for…

Secure multi-party computation for collaborative machine learning – 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…

Reinforcement learning for resource allocation in cloud computing – 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…

Explainable deep learning for natural language inference – Complete Phd and Masters Thesis

[ad_1] **Introduction** Deep learning models have achieved remarkable success in various natural language processing tasks, including natural language inference (NLI). NLI, also known as textual entailment, aims to determine the logical relationship between a premise…

Quantum-resistant digital signatures – Complete Phd and Masters Thesis

[ad_1] Introduction: As the era of quantum computing approaches, traditional digital signature algorithms are becoming increasingly vulnerable to attacks by quantum computers. Quantum computers have the potential to break widely used encryption schemes such as…

Quantum machine learning for materials discovery – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of materials discovery has undergone a rapid transformation due to the advancements in quantum machine learning techniques. Quantum machine learning combines concepts from quantum mechanics and machine learning…

Decentralized identity management using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction The emergence of blockchain technology has revolutionized various industries, introducing new possibilities for secure and decentralized systems. One of the promising applications of blockchain is in identity management, where individuals have control over…

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