[ad_1] Introduction Neuromorphic computing is a cutting-edge field of study that aims to mimic the structure and functionality of the human brain using hardware and software systems. This approach provides a unique opportunity to develop…
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[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…
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[ad_1] Introduction Serverless computing is a cloud computing model in which the cloud provider manages the infrastructure needed to execute code, allowing developers to focus on writing and deploying functions without worrying about servers. Edge…
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[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…
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[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,…
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[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…
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[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…
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[ad_1] Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as a powerful tool for enhancing the scalability and privacy of blockchain networks. These cryptographic protocols allow for the verification of computations without revealing…
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[ad_1] Introduction Decentralized prediction markets have gained significant attention in recent years due to their potential to revolutionize the way individuals predict and exchange information about future events. By utilizing blockchain technology, these prediction markets…
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[ad_1] Introduction In recent years, machine learning algorithms have shown significant potential in providing decision support for various domains, including healthcare. However, the black-box nature of many machine learning models often poses challenges in their…
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