Random Forest has garnered a lot of attention from various researchers among numerous classification approaches. However, Random Forest performs poorly with very high dimensional data. Principal Component Analysis (PC...
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Sentiment analysis, sometimes known as opinion mining, is a technique or process for finding and obtaining information on a certain topic, such as opinions and attitudes, from both written and spoken language. Most of...
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A prediction system serves as an indispensable tool for data scientists, enabling prediction from private data set using tailored analytical algorithms. In response to a need identified by the Department of Fisheries ...
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Single Root Input/Output Virtualization (SR-IOV) is a key feature in the PCI Express (PCIe) specifications, which facilitates the shared use of the same device in a virtualized environment by different virtual machine...
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This study explores the challenges posed by high-dimensional data in the context of microarray gene expression data, emphasizing the importance of dimension reduction techniques for informative gene selection. The res...
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The conventional method of manually recording attendance in educational settings presents intrinsic difficulties, thereby demanding a more streamlined and precise alternative. Nevertheless, the implementation of a rob...
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The rapid development and progress of artificial intelligence algorithms in the last decade has opened up many new possibilities and fields for its application. The field of human-computer interaction is not only not ...
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Large Language Models (LLMs) are known to make factual errors and hallucinate. This project overview discusses current and future research methods of improving the accuracy, interpretability and explainability of LLMs...
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Data mining is a field of study that seeks to draw out significant patterns from large amounts of data. This study explores the classification algorithms for spotting new trends in massive volumes of credit card data....
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Ransomware attacks have emerged as a significant threat to organizations and individuals, causing substantial financial and operational damages worldwide. With the increasing sophistication and frequency of ransomware...
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