In open-source development, encountering build failures is a common challenge. Addressing these issues requires analyzing the causes of errors and developing solutions for fixing them. In this work, we fine-tuned Goog...
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Millions of lives are at risk annually due to traffic accidents, and the need for a proactive and efficient accident detection system is paramount. The traditional accident detection system faces some challenges such ...
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The rapid growth of the internet has increased people's reliance on it for expressing opinions on products and stores. Text sentiment analysis is now a key research area. Deep learning methods are commonly used fo...
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This paper presents a novel framework for predicting heart diseases in the cloud environment by employing hybrid classifiers. The dataset used in this research is the Cleveland heart disease dataset. Four hybrid class...
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This paper proposes a delay-sensitive framework for the Healthcare Industry that can effectively predict diseases at an early stage. The framework utilizes Machine Learning (ML) techniques to integrate the Internet of...
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Cancer detection through medical image segmentation and classification is possible owing to the advancement in image processing techniques. Segmentation and classification tasks carried out to predict and classify dis...
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There is a high-risk privacy issue related to the Internet of Medical Things (IoMT) because of a lack of security in critical and sensitive information. We propose a framework for securing medical data in Healthcare 5...
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This work investigates the feasibility of employing hybrid switched capacitor converters in wireless battery charging applications. A capacitively-isolated hybrid Dickson converter designed for use in low-power volume...
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Brinjal leaf diseases, such as leaf spot, mosaic virus, and wilt, would critically reduce crop yield quality if the disease is spread during an early stage. Such reasons have made early identification imperative to en...
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Sentiment analysis on social media platforms has gained immense popularity in recent years due to its ability to analyze and classify users' emotions and opinions on different topics. This paper proposes a sentime...
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