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Random Forest for Data Aggregation to Monitor and Predict COVID-19 Using Edge Networks - IEEE Xplore
Medical sensors and distributed edge networks hold promise in advanced control and prediction of infectious diseases, such as COVID-19. Their integration can lower communication latency, bandwidth ...
Scuffing is one of the most problematic failure mechanisms in lubricated mechanical components. It is a sudden and almost not predictable failure that often leads to extensive cost in terms of damages ...
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How-To Geek on MSN6 Basic but Useful Python Scripts to Get You StartedPython is one of the most approachable languages to learn, thanks to its object-oriented-first approach and its minimal ...
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