[ad_1] Thesis Overview: Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have gained significant attention in recent years due to their ability to provide privacy-preserving credential systems. This thesis aims to explore the applications and…
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[ad_1] Introduction: In recent years, with the rapid advancement of technology and the proliferation of smart devices, the need for effective anomaly detection techniques has become crucial. Anomaly detection plays a vital role in identifying…
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[ad_1] **Thesis Overview on Quantum Machine Learning for Quantum Algorithm Design** Quantum machine learning is a burgeoning field that combines the principles of quantum mechanics with the algorithms of machine learning to develop new computational…
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[ad_1] Introduction Decentralized reputation systems using blockchain have gained significant interest in recent years due to the potential they hold to revolutionize the way we establish trust in online interactions. By leveraging the transparency and…
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[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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[ad_1] Introduction Federated reinforcement learning is a promising approach to address the challenges of collaborative robotics, where multiple robots work together to achieve a common goal. This thesis explores the use of federated reinforcement learning…
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[ad_1] Introduction Quantum key distribution (QKD) has emerged as a promising technology for achieving secure communication in the era of cloud storage. With the increasing reliance on cloud services for storing sensitive information, the need…
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[ad_1] Introduction: In recent years, there has been a growing interest in the potential of Distributed Ledger Technology (DLT) to revolutionize various industries, including identity management. Decentralized identity management using DLT has the potential to…
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[ad_1] Introduction With the increasing use of deep learning in various industries, there is a growing concern about the privacy of sensitive data that is used to train these models. Homomorphic encryption has emerged as…
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[ad_1] Introduction: Serverless computing has emerged as a promising technology for big data analytics, offering a scalable and cost-effective solution for processing and analyzing large volumes of data. With serverless computing, developers can focus on…
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