[ad_1] Introduction Natural language processing (NLP) is a rapidly growing field in the intersection of computer science, artificial intelligence, and linguistics. It focuses on enabling computers to understand, interpret, and generate human language in a…
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[ad_1] **Introduction** Automated theorem proving is a field of study within artificial intelligence and mathematical logic that focuses on the development of algorithms and systems capable of proving mathematical theorems automatically, without human intervention. This…
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[ad_1] Introduction Data mining is a powerful tool that can be used to extract valuable insights and patterns from large volumes of data. One of the key applications of data mining is in fraud detection,…
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[ad_1] Introduction: In recent years, there has been a growing interest in self-supervised learning models for natural language processing (NLP) tasks. These models have shown great potential in learning representations from large amounts of unlabeled…
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[ad_1] Introduction The Internet of Things (IoT) has revolutionized the way we interact with technology, enabling seamless connectivity and communication between devices. However, with the increasing number of connected devices, the potential for security threats…
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[ad_1] Introduction: Data augmentation is a crucial technique in machine learning and computer vision tasks to increase the size of training datasets and improve the generalization of models. Generative Adversarial Networks (GANs) have shown great…
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[ad_1] Introduction Conversational agents have become increasingly popular in recent years, with applications ranging from customer service bots to virtual personal assistants. These agents, also known as chatbots, have the ability to interact with users…
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[ad_1] Introduction The use of neural networks for time series prediction has gained significant attention in recent years due to its ability to capture complex patterns and relationships within data. This thesis focuses on building…
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[ad_1] Introduction Generating realistic images has long been a challenging problem in the field of computer vision. Generative Adversarial Networks (GANs) have emerged as a powerful tool for image generation, allowing for the creation of…
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[ad_1] Introduction With the increasing global population and the growing demand for food, it is crucial to enhance agricultural productivity to meet the needs of the future. Traditional methods of crop yield prediction have limitations…
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