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Results indicate that combining different AI-based checks can support faster and more consistent screening, although further testing with larger and more diverse datasets is required before considering real-world deployment.
Muscle fatigue is of great importance during any kind of physical activity, as it reduces the performance of the body part and, in extreme cases, can even cause harm to the individual. Surface electromyography (sEMG) has emerged as one of the most prevalent methods for assessing muscle state and fatigue-related changes...
A millet recognition system for image classification with the use of various deep learning techniques using Convolutional Neural Network to automatically classify the various millet types and provides comprehensive information, benefits, nutrition charts, and recipes.
Smart Health Forecasting based on the indicators that users or patients provide to the system, a machine learning and predictive modeling system forecasts their illnesses and improves a number of features of healthcare applications by providing a thorough explanation of medical data.
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