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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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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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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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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The process of diagnosing diseases stands as a pivotal conduit for converting observed clinical evidence into precise disease appellations. Brain cancer, characterized by the uncontrolled growth of abnormal cells with...
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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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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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This research is aim to focus on IoT based hand gesture model. Mouse is one of the most important input devices of a computer. It works as a pointing device and allows the user to move the pointer as needed by the use...
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Nowadays internet anonymity has turned into a head-scratcher issue for most law enforcement agencies. As the technological developments in the digital field are still rising exponentially so are cyber crimes. In cyber...
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Speech Recognition(SR) is a challenging task because existing models expect their users from different geographies to have the same level of proficiency, which is unrealistic. Existing models achieve high classificati...
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