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Serverless computing for real-time data processing – Complete Phd and Masters Thesis

[ad_1] Introduction Serverless computing is a cloud computing paradigm that allows developers to build and run applications without the need to manage the underlying infrastructure. In serverless computing, the cloud provider dynamically manages the allocation…

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…

Interpretable machine learning for fraud detection – Complete Phd and Masters Thesis

[ad_1] Introduction Interpretable machine learning has become increasingly important in the field of fraud detection as organizations seek to understand the decisions made by automated systems and comply with regulations such as GDPR. The ability…

Differential privacy for location-based services – Complete Phd and Masters Thesis

[ad_1] Introduction Differential privacy is a concept that has gained significant attention in recent years, particularly in the context of location-based services. With the increasing use of location data for various applications such as personalized…

Zero-shot learning for image captioning – Complete Phd and Masters Thesis

[ad_1] Introduction Chapter 1: Zero-shot Learning for Image Captioning 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…

Federated reinforcement learning for smart grid optimization – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the integration of artificial intelligence and machine learning techniques in the optimization of smart grid systems has gained significant attention. Smart grids are complex systems that require efficient optimization strategies…

Quantum key distribution for 5G networks – Complete Phd and Masters Thesis

[ad_1] Introduction The advancement of technology has led to the development of faster and more efficient communication networks, with 5G being the latest generation of mobile networks. With the increasing amount of data being transmitted…

Neuromorphic computing for edge AI – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing is a rapidly evolving field that aims to replicate the structure and functionality of the human brain in artificial intelligence systems. By mimicking the brain’s neural networks, neuromorphic computing offers the…

Distributed ledger technology for supply chain traceability – Complete Phd and Masters Thesis

[ad_1] Table of Contents Chapter 1: Introduction 1.1 Background of the Study 1.2 Statement of the Problem 1.3 Objective of the Study 1.4 Research Questions 1.5 Significance of the Study 1.6 Scope and Limitations 1.7…

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