[ad_1] Introduction The Internet of Things (IoT) has revolutionized the way we interact with the world around us, allowing for increased connectivity and automation in various aspects of our daily lives. However, with the proliferation…
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[ad_1] Introduction Speech recognition systems have become increasingly prevalent in our daily lives, from virtual assistants like Siri and Alexa to automated customer service lines. However, recent research has shown that these systems are vulnerable…
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[ad_1] Introduction In recent years, the concept of Digital Twin technology has gained significant attention in various industries, including urban development. By creating a virtual replica of physical assets and processes, Digital Twin technology allows…
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[ad_1] Introduction Computer vision has become an essential tool in various fields, including sports analytics. The ability to analyze data from sports events in real-time can provide valuable insights for coaches, players, and fans. With…
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[ad_1] Introduction Swarm intelligence is a novel approach that involves the collective behavior of decentralized, self-organized systems. This concept has gained significant attention in the field of smart traffic management due to its ability to…
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[ad_1] Introduction Augmented reality (AR) is a technology that superimposes virtual information onto the real world through the use of devices such as head-mounted displays or smartphones. In recent years, AR has gained significant attention…
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[ad_1] Introduction Automated software requirements analysis using Natural Language Processing (NLP) is a cutting-edge technology that aims to improve the efficiency and accuracy of software development processes. This thesis explores the potential of using NLP…
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[ad_1] Introduction The Internet of Things (IoT) is revolutionizing the way devices interact and communicate with each other, leading to a more connected and convenient world. However, the increased connectivity also introduces security vulnerabilities, especially…
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[ad_1] Introduction Reinforcement learning (RL) is a type of machine learning technique that allows an agent to learn how to make decisions through trial and error. By interacting with its environment, the agent receives feedback…
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[ad_1] Introduction Natural language understanding (NLU) has become a critical component in various fields, including legal document analysis. With the increasing volume of legal documents being generated, there is a growing need for intelligent systems…
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