[ad_1] Introduction Automated software performance optimization is a critical area of research in the field of software engineering. With the increasing complexity of software systems and the demand for high performance applications, there is a…
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[ad_1] Introduction In recent years, with the rapid growth of urbanization and the increase in the number of vehicles on the road, real-time traffic management has become a critical issue for city planners and transportation…
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[ad_1] Introduction In recent years, Artificial Intelligence (AI) has been increasingly used in critical systems such as autonomous vehicles, medical diagnosis, and financial trading. However, the lack of transparency and interpretability in AI algorithms has…
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[ad_1] Introduction Blockchain technology has gained significant popularity in recent years for its potential to revolutionize various industries, including insurance. By decentralizing data and transactions, blockchain offers increased security, transparency, and efficiency. This thesis explores…
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[ad_1] Introduction Artificial Intelligence (AI) has emerged as a powerful tool for enhancing energy efficiency in various domains, including building management. With the increasing demand for sustainable practices and the need to reduce energy consumption,…
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[ad_1] Introduction: Collaborative filtering is a widely used technique in recommendation systems, which is designed to predict a user’s preferences for a particular item based on the preferences of other users with similar tastes. However,…
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[ad_1] Introduction: Swarm robotics is a relatively new field of robotics that involves the coordination of multiple autonomous robots to achieve a common goal. This technology has shown great potential in various applications, including construction…
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[ad_1] Introduction Blockchain technology has gained significant attention in recent years due to its potential to revolutionize various industries by providing a secure and transparent way of storing and transferring data. One of the key…
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[ad_1] Introduction Federated learning is a novel approach to machine learning that allows multiple parties to collaborate on building a shared model without sharing their raw data. This technique has gained significant attention in recent…
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[ad_1] Introduction: Secure IoT sensor networks have become an essential component of modern society, enabling the seamless collection and transmission of data for various applications such as smart homes, healthcare monitoring, and industrial automation. However,…
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