Heart attacks are a leading cause of death worldwide, making it a necessity to develop accurate prediction systems for timely intervention and prevention. This paper addresses the challenge of heart attack prediction ...
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Sign language is a vital mode of communication for the deaf and dumb community. This research presents a robust and real-time Gesture-Based Sign Language Detection System that leverages computer vision and deep learni...
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With an increase in the rise of divisive politics that are often contrarian to the core beliefs and manifesto of political parties, it is become imperative for political parties and candidates to find a solid middle g...
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The research aims to improve traffic management and response time of emergency vehicles, specifically ambulances, at four-lane traffic junctions. The primary objectives are to detect the presence of emergency vehicles...
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computer vision and the Internet of Things have led to significant advancements in student attendance monitoring. In this work, an innovative system has been designed to facilitate real-time, automated student attenda...
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Sentiment analysis of customer reviews is crucial for understanding consumer feedback and improving business strategies in the e-commerce sector. This study proposes an enhanced deep learning framework for sentiment a...
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Websites handle the data of the webpages by storing them into a database and reading from it whenever needed. The data may include the content of the webpages or the users who use the website. Security of this data is...
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Cricket is one of the most viewed sports in the world and tracking of this game is very important throughout the gameplay. The application of automata in sports is least explored and this paper proposes the use of aut...
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The early identification and outlook of Alzheimer's disease (AD) are the primary focus of this review of the literature. It emphasizes the significance of early detection, the application of machine learning appro...
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Weed detection is an important process in increasing the crop yield and minimizing labor input in crop management. Automatic weed detection helps in enhancing precision agriculture. The objective of this study is to e...
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