As people age, the frequency and impact of falls among the elderly continue to escalate, presenting significant health and mobility risks. Efficient detection and immediate response are crucial in reducing the severit...
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Advanced technology and the widespread use of deep fake technology has rendered the digital landscape vulnerable to deceptive manipulations, particularly through the creation of synthetic face images. This comprehensi...
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Neural networks have demanding computational requirements, particularly in matrix multiplication operations. To address this challenge, we propose a model that combines network pruning and matrix compression technique...
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Conjunctivitis, or pink eye, is an inflammation of the eye's thin, transparent membrane, causing redness, irritation, swelling, and discharge. Recent research integrates deep learning techniques in ophthalmology t...
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In recent years, the popularity of online food ordering services has surged, offering consumers a convenient way to order food from restaurants and have it delivered to their doorstep. During this period, HungryNaki a...
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The surge in online education has necessitated the development of robust systems to maintain academic integrity during remote assessments. This project introduces a comprehensive solution for monitoring unauthorized a...
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Cyberbullying has grown to be a significant issue in the internet age, affecting individuals of all ages, particularly teens. It involves using internet channels to harass, threaten, or disparage people, often with li...
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In today's world, skin diseases are caused by various factors and affect a person's mental and physical wellbeing. Particularly in private areas, there is considerable reluctance to disclose skin diseases, esp...
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Kidney stones are a common and impactful urological condition, with timely and accurate diagnosis being critical to prevent complications such as renal damage and avoid invasive treatments. This study explores the use...
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The level of freshness of fruits and vegetables must be constantly monitored to reduce food waste and maximize its nutritional value. Existing approaches to this problem either consider a binary classification problem...
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