[ad_1] Thesis Title: Privacy-preserving Machine Learning for Personalized Medicine 1. Introduction 1.1 Introduction 1.2 Background of the Study 1.3 Problem Statement 1.4 Objective of the Study 1.5 Limitation of the Study 1.6 Scope of the…
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[ad_1] Introduction Federated learning has emerged as a promising technique for privacy-preserving machine learning applications in various domains, including healthcare, finance, and smart cities. In the context of smart cities, where data is generated from…
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[ad_1] Introduction Augmented reality (AR) is a technology that overlays digital information on the user’s view of the physical world. It has gained popularity in various fields such as gaming, entertainment, education, and healthcare. One…
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[ad_1] Introduction As technology continues to advance, the demand for artificial intelligence (AI) capabilities in smartphones has increased significantly. However, traditional AI algorithms often require high computational power, resulting in increased energy consumption and reduced…
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[ad_1] Introduction In recent years, the advancement of artificial intelligence (AI) technology has revolutionized various industries, including journalism. One of the most exciting applications of AI in journalism is the development of Generative AI for…
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[ad_1] Introduction The increasing adoption of Internet of Things (IoT) technologies in industrial settings has led to significant advancements in industrial control systems. These systems, which are used to monitor and control industrial processes, are…
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[ad_1] Introduction: The increasing popularity of smart home devices has led to a growing concern about the security and privacy of these systems. Edge AI, a subset of artificial intelligence that operates on local devices…
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[ad_1] Introduction In recent years, digital twin technology has emerged as a promising tool for personalized healthcare monitoring. Digital twins are virtual representations of physical objects, processes, or systems that enable real-time monitoring, analysis, and…
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[ad_1] Introduction In recent years, the rise of cyber threats and attacks has posed significant challenges to organizations across the globe. Traditional security measures are no longer sufficient to protect sensitive data and networks from…
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[ad_1] Introduction In the digital age, the need for secure and efficient digital identity management has become increasingly important. Traditional centralized systems for identity management have been plagued by security breaches, privacy concerns, and inefficiencies.…
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