Titlebook: Data Science and Applications; Proceedings of ICDSA Satyasai Jagannath Nanda,Rajendra Prasad Yadav,Muk Conference proceedings 2024 The Edit

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Peter K. Sculco MD,Thomas P. Sculco MDvarious types, characterized by color and infection, where some issues may be easily overlooked while others can lead to cancer. Our project proposes an approach for automatically diagnosing malignant or benign conditions. Despite numerous attempts by researchers using deep learning models, accurate

细微差别

Complications of Metal-on-Metal Bearings. TB is a bacterial illness that is caused by Mycobacterium tuberculosis. This lung disease is highly infectious and can potentially infect other human body organs. Early diagnosis and treatment of tuberculosis are essential components in lowering death rates and halting the progression of the illne

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Safety, Predictability and Efficacy of LASIKeeds of the consumers. The colour forecasting industry has rapidly evolved by combining data sciences with the intuitive process of colour forecasting, resulting in increased accuracy and efficiency. This review paper studies the various experiments conducted to achieve colour forecasting results by

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Complications in Corneal Laser Surgery Approach (CASA) is a process-based ecosystem model widely used to estimate Net Primary Productivity (NPP) at regional to global scales. It uses data on environmental variables, such as total solar radiation, temperature, precipitation, Normalized Difference Vegetation Index (NDVI), and information

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Complications and Management of SMILEy, which might be fatal as a result of kidney malfunction. Machine learning techniques are effective in predicting CRD. The methodology presented in this study for predicting CRD status determined on clinical information involves data preparation, a missing value management strategy with the use of

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Safety, Efficacy and Predictability of SATpain and disability. Early detection of KOA is critical for timely intervention and improving patient outcomes. In this research, we develop a KOA prediction model using X-ray images and the Kellgren-Lawrence (KL) scale to predict the presence of KOA. Medically, photos in the form of knee X-ray imag

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Complications in Free Flap Reconstructionraction between computer and humans. Due to the complexity of human faces and differences in photographs, such as varied facial poses and lighting, facial emotion recognition by computer models still poses a challenge. Owing to their effective computational performance and excellent autonomous extra

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Complications in Orthognathic Surgery a destination node in an environment with obstacles. We consider a Genetic Algorithm (GA) which is used widely to compute an optimal path and obtain promising search results. A classical GA, however, performs more of a “blind” search and evolves without any previous knowledge, which leads to the GA