[ad_1] Introduction Neuromorphic computing has emerged as a promising technology for edge devices due to its ability to process information in a manner that mimics the human brain. This thesis explores the application of neuromorphic…
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[ad_1] Thesis Overview: Privacy-enhancing technologies for social networks Introduction Privacy has become a major concern in the age of social networks, where users share personal information and engage in various activities online. This thesis focuses…
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[ad_1] Introduction In recent years, smart home devices have become increasingly popular among consumers, providing convenience, security, and energy efficiency. These devices rely on artificial intelligence (AI) to automate tasks and improve user experience. However,…
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[ad_1] Thesis Overview: Blockchain for Decentralized Finance (DeFi) Introduction Blockchain technology has gained significant attention in recent years for its potential to revolutionize various industries, including finance. Decentralized Finance (DeFi) is a rapidly growing sector…
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[ad_1] Introduction AI-powered recommendation systems have become an integral part of our daily lives, influencing our decisions in various aspects such as shopping, entertainment, and social media platforms. These systems utilize artificial intelligence algorithms to…
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[ad_1] Introduction Cloud computing has revolutionized the way organizations store, process, and manage their data. With the increasing adoption of cloud services, organizations are looking towards multi-cloud environments to improve redundancy, scalability, and flexibility. However,…
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[ad_1] Introduction: In recent years, the use of autonomous drones has become increasingly popular in various industries such as agriculture, security, and transportation. One of the key challenges in developing autonomous drones is designing a…
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[ad_1] Introduction Privacy-preserving machine learning techniques have become increasingly important in today’s data-driven society where large amounts of sensitive information are collected and analyzed. With the rise of machine learning algorithms that require access to…
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[ad_1] Introduction In recent years, the use of swarm robotics in search and rescue operations has gained increasing attention due to its potential to improve the efficiency and effectiveness of these critical missions. Swarm robotics…
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[ad_1] Introduction Quantum machine learning (QML) is an emerging field that combines quantum computing and machine learning techniques to enhance the speed and efficiency of computational tasks. In recent years, there has been a growing…
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