[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 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 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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[ad_1] Introduction: Health assistance is crucial in ensuring individuals receive the necessary information and support to maintain or improve their well-being. With advancements in technology, conversational agents have emerged as an effective tool for providing…
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[ad_1] Introduction: In recent years, the development of artificial intelligence (AI) has gained significant momentum, with applications ranging from self-driving cars to voice recognition systems. One area where AI has shown great promise is in…
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[ad_1] Introduction In recent years, text summarization has gained significant attention in the field of natural language processing (NLP) due to the increasing volume of text data available on the internet. Text summarization aims to…
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[ad_1] Introduction The rapid advancement of artificial intelligence (AI) technology has shown great potential in revolutionizing various industries, including healthcare. With an aging population worldwide, the demand for elder care services is continuously increasing, leading…
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[ad_1] Introduction Natural language inference (NLI) is the task of determining whether a hypothesis can be inferred from a given premise. It is a fundamental problem in natural language processing (NLP) with applications in question-answering…
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[ad_1] Introduction In today’s fast-paced business environment, providing efficient and effective customer support is crucial for maintaining customer satisfaction and loyalty. With the advancements in artificial intelligence and natural language processing technologies, chatbots have emerged…
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