Large Language Models (LLMs) excel in various natural language processing tasks but struggle with hallucination issues. Existing solutions have considered utilizing LLMs' inherent reasoning abilities to alleviate ...
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The paper gives a complete insight into deep learning, along with its diverse applications. Deep learning uses neural networks with 3 or more levels to imitate human brain behavior. As the paper proceeds, it gives in-...
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To accurately extract Brillouin frequency shift of BOTDA with large sweeping step sizes, a novel structure of GAFCNN is proposed, combining time series coding with convolutional neural networks. The experimental data ...
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The project aims to create a web app employing collaborative filtering for personalized book recommendations. It analyzes user-resource relationships to suggest books based on similar users’ preferences. Users can vi...
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Sentiment Analysis is a part of NLP that aims to identify the sentiment or opinion from textual data. This review paper gives a comprehensive study of the sentiment analysis method. From traditional methods to modern ...
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This paper presents a new method to reduce the high false alarm rate. When the Phi-OTDR system is applied in complex environment, irrelevant event signals similar to the target event often interfere with the recogniti...
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Through the use of optical networks, Generalized Multi Protocol Label Switching (GMPLS) has revolutionized end-to-end transmission. In this paper, the different bandwidth allocating algorithms like opportunistic load ...
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This paper explores the application of large language models (LLMs) in nursing and elderly care, focusing on AI-driven patient monitoring and interaction. We introduce a novel Chinese nursing dataset and implement inc...
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Porosity calculation plays a vital role in evaluating the structural integrity and performance of wave-dissipating blocks used in coastal engineering. These blocks are structures that are designed to protect coasts, b...
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With the rapid development of digital technology, online learning has become an important way for students, especially those majoring in foreign languages, to learn. To improve the accuracy of predicting student grade...
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