This classroom management system is designed to simplify attendance tracking and data access. It replaces the traditional pen-and-paper method with a location-based tracking and QR code system, providing administrator...
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Students frequently experience issues while taking notes, which interferes with their ability to study. There are many reasons students miss to take notes in college. Without notes, they might miss on important inform...
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Although centralized digital organizations offer secure communication between people, services, and technology, the digital revolution poses significant threats. Data can be mined, profiled, and used without the user&...
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The goal of the research on fetal health categorization using machine learning is to create a model that can precisely predict the condition of a fetus during pregnancy. This is crucial because prompt action following...
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Semi-supervised learning presents a challenge in preparing a classifier in a dataset that has few marked and many unlabelled models. The GAN architecture is expanded by the semi-supervised GAN model, which involves pr...
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The method of finding natural groupings within multidimensional data based on some similarity metrics is known as data clustering. There are many clustering algorithms proposed over time, and many of them have gained ...
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Ever-since the advent of computer vision-related research field, object detection has been in the forefront of this field. Among all the object detection tasks, pedestrian detection has been the most challenging. The ...
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Network attacks constitute the most ubiquitous and pivotal problem confronting modern society. All networks are susceptible to network threats to some degree. Intrusion Detection is imperative to identify these threat...
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As the growth of online social networks increases, everyone is associated and linked with social media. A massive amount of personal data is being attacked and stolen by cyber attackers. These fraudulent profiles also...
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In this work, an approach to tackle the problem of image segmentation on MRI scans of cancer patients using deep learning techniques has been proposed. Radio oncologists are challenged with a tedious task of segmentin...
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