[ad_1] Introduction Cloud computing has emerged as one of the most widely adopted technologies in recent years, offering flexible and scalable resources to users. However, efficient management of resources in the cloud environment remains a…
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[ad_1] Introduction Computer vision is a rapidly growing field in artificial intelligence that focuses on enabling computers to interpret and understand visual information from the world around us. One key application of computer vision is…
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[ad_1] Introduction The Internet of Things (IoT) is a rapidly growing technology that allows devices to connect and communicate with each other over the internet. With the increasing number of IoT devices being used in…
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[ad_1] Thesis Overview: Automated requirements engineering is a rapidly evolving field that aims to automate the process of eliciting, analyzing, specifying and validating requirements for software systems. This thesis explores the current state of the…
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[ad_1] Introduction In recent years, the Internet of Things (IoT) has seen rapid growth and integration into various aspects of daily life. With this expansion comes the need for secure communication and data transmission between…
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[ad_1] Introduction: In recent years, there has been a growing interest in the use of Artificial Intelligence (AI) for automated diagnosis in various fields such as healthcare, finance, and cybersecurity. AI models are capable of…
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[ad_1] Introduction In recent years, there has been a growing interest in utilizing Swarm Intelligence (SI) techniques for the development of smart transportation systems. SI is a collective behavior observed in decentralized, self-organized systems where…
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[ad_1] Introduction: Natural Language Understanding (NLU) is a crucial component in the field of artificial intelligence, enabling machines to interpret and comprehend human language. One of the key applications of NLU is intent recognition, which…
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[ad_1] Introduction Artificial Intelligence (AI) has emerged as a powerful tool for addressing complex challenges in various fields, including climate change mitigation. As the threats of climate change continue to escalate, there is a growing…
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[ad_1] Introduction: Privacy-preserving collaborative filtering is a technique used in recommendation systems to protect the privacy of users while still providing accurate and personalized recommendations. Collaborative filtering is a popular method for recommendation systems as…
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