This project addresses one of the primary causes of vehicle accidents: the sudden appearance of obstacles while driving. Drivers' varying response times often lead to accidents due to delayed braking or inability ...
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In the ever-evolving landscape of travel planning, the 'Trip Planner' application is highly recommended. Using Python, Tkinter, and SQLite managed through pandas, this tool enhances user interaction with techn...
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Quantum computing is a revolution in computational theory that uses the principles of quantum mechanics to perform computations that are beyond the capacity of classical computers. It works with the special features o...
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Continuous Integration and Continuous Deployment (CI/CD) automation have emerge as critical for modern-day software development. Despite its blessings, demanding situations including integration complexity, inconsiste...
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Conventional cradles lack the ability to monitor and support infants continuously or adapt to varying needs. This study proposes a novel smart cradle equipped with advanced sensors and actuators, enabling parents to c...
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Recent technologies have evolved rapidly, allowing the creation of fake videos/images that are realistic. These artificial media pieces have provoked grave worries about the possibilities of their misuse in different ...
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The growing dependence on mobile devices like smartphones has caught the consideration of cybercriminals. It creates numerous chances for intruders to infiltrate and compromise them. This current continuing challenge ...
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Women's safety is a critical concern in today's society, necessitating innovative solutions that leverage technological advancements. This Proposed paper proposes two different applications, namely Womenify fo...
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At present, Internet of Things has become a widely used subject for research because of its applications in our modern world. With this growth, securing IoT devices against cyber threats becomes essential. It will be ...
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Cell segmentation is crucial for accurately assessing disease severity. Despite advances in deep learning, there is still a gap in understanding how U-Net variants perform in addressing the issue of limited labeled da...
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