Titlebook: Big Data and Artificial Intelligence; 11th International C Vikram Goyal,Naveen Kumar,Dhruv Kumar Conference proceedings 2023 The Editor(s)

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Decomposition in Data Mining - A Case Study,TB detection is crucial as it can be dangerous if left untreated. To achieve accurate results, it is essential to have a high-resolution input. This paper introduces a Low and high level feature steering (LHFS) module, which reconstructs high-resolution images by a reference image that contains same

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Data Warehousing, Data Mining, and OLAP,sults in unnecessary, inappropriate, and wasted medical services. In the US, Fraud, Waste, and Abuse (FWA) ranges between $760 billion to $935 billion, accounting for approximately 25% of total healthcare spending. In India, the waste caused by FWA is estimated to be as high as 35%. This is due to a

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Introduction to Data Mining Principles,cument within a source document. In CTG, the generated text draws upon contextual cues from both the source document and the cited paper, ensuring accurate and relevant citation information is provided. Previous work in the field of citation generation is mainly based on the text summarization of do

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Studies in Computational Intelligencein accuracy. This paper introduces a comprehensive methodology to construct a resilient dataset focused on High School Physics, leveraging retrieval augmentation. Subsequent finetuning of a Large Language Model through instructional calibration is proposed to elevate outcome precision and depth. The

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