In recent years, Large Language Models (LLMs) have emerged as transformative tools in natural language processing (NLP) and artificial intelligence (AI) *** excel in generating coherent and contextually relevant text ...
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Customer segmentation plays a pivotal role in enabling businesses to tailor their marketing strategies effectively. This project aims to explore various clustering algorithms including K-means, Agglomerative Hierarchi...
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Educational Institutions receive a large amount of data, which includes student review. The text-based interactions, reveal patterns in student sentiments and emotions and enhance the overall educational experience. T...
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Globally, the search engine is extremely important in reducing the difficulty of information exploration. An internet spider, bot, or program known as a web crawler is used by search engines to maintain an index and r...
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The Internet of Things (IoT) heralds a innovative generation in communication via enabling regular gadgets to supply, receive, and percentage records easily. IoT applications, which prioritise venture automation, aim ...
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Using color fundus imaging to identify diabetic retinopathy (DR) is a tough process that requires skilled doctors to comprehend the existence and significance of certain small characteristics. This effort is further c...
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Convolutional neural networks (CNNs) are essential for medical picture segmentation in clinical analysis and illness detection. On the other hand, noise levels and intraclass variability are considerable in medical ph...
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Manufacturing analysis at many facilities is of fundamental significance nowadays and is increasing in the present setting of Big Data in Industry. The chemometrics, machine learning and statistics are the areas were ...
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This term paper looks at vehicle location procedures that can be utilized for activity observing frameworks. The framework works in conjunction with CCTV camera integration to identify vehicles. The first step is alwa...
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In this study, the effectiveness and performance of the Skip-Connected Convolutional Neural Network (SC-CNN) architecture for image classification tasks are evaluated against that of a traditional Convolutional Neural...
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