[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 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 Autonomous driving is an emerging technology that has the potential to revolutionize transportation by making vehicles safer, more efficient, and convenient. Deep learning, a subset of artificial intelligence, has shown great promise in…
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[ad_1] Introduction In recent years, the field of machine learning has seen significant advancements with the introduction of quantum computing. Quantum machine learning combines the principles of quantum mechanics with traditional machine learning algorithms to…
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[ad_1] Introduction Differential privacy has emerged as a promising technique for protecting the privacy of individuals in datasets while allowing for meaningful analysis to be conducted. With the rise of federated analytics, which involves the…
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[ad_1] Introduction Zero-shot learning (ZSL) is a challenging task in the field of artificial intelligence and machine learning, where the goal is to develop models that can answer questions on unseen topics without any prior…
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