AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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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.
A deep learning-based approach to detect the onset of muscle fatigue caused by long-duration, low-intensity HCI tasks, namely, typing, gaming, and using a mouse for an extended period of time, which is not much talked about compared to high-intensity or athletic fatigue is suggested.
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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