This present research investigates the use of machine learning and deep learning models for the detection of knee osteoarthritis using the X-Ray images in depth. knee osteoarthritis is one of the most common joint dis...
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Diabetic retinopathy(DR) has become a major issue among ophthalmologists worldwide, with a majority of type 2 diabetes patients suffering from this disease. Currently, medical diagnosis is primarily performed through ...
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As a dynamic sport, Cricket provides various complex shots which are extremely precise to execute and hard to classify. Shot identification or classification is based on the manual method which prone to error and time...
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Autonomous vehicles represent a transformative technology with the best implications for transportation systems. The key component of their success is their capability to detect and respond to their surroundings. For ...
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This paper conducts a thorough semantic analysis of NIFTY-50 stock data, aiming to unravel the intricate dynamics of the Indian stock market. Employing a versatile blend of analytical and machine learning techniques, ...
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Smart grids are important in modern smart cities for setting and managing the response demands, for this, they use Information and Communication Technologies. Many kinds of sensors are used in Smart Grid Environment f...
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With the increasing number of vehicles on roads, the occurrence of road accidents has become a major concern globally. Automatic road accident detection systems based on Internet of Things (IoT) technologies have emer...
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Multilevel attribute inference for attributed networks is essential in network analysis with applications in various fields such as social networks, biological networks, and recommender systems. Attributed networks co...
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Hate speech recognition has emerged as a key problem in social media and should be addressed using multiple models. Machine learning models like CNN and LSTM have been used recently in creating successful hate-speech ...
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The growing interest in health and fitness has resulted in an increase in the number of people joining fitness clubs. However, maintaining member engagement remains a challenge for fitness club operators. The goal of ...
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