Data were derived from the efflux of hydrogen ions (Extracellular Acidification Rate, ECAR) and oxygen consumption (Oxygen Consumption Rate, OCR) of cells obtained during the Mito Stress Test following the equation below: ATP production rate (pmol ATP/min) = Proton Exchange Rate, PER final (pmol...
I don't feel comfortable writing Thailand out ofthat equation. Has writing ‘The Beach’ changed your perspective on global tourism? Are you positive about it? No I'm not. But I'm not entirely against it either. The thing about tourism is just that it's incredibly powerful. It's like...
s predictions and the actual buoy observations. The two parameters used in this paper are significant wave height and wind speed. The paper proposes two machine learning models to solve this task. Both models are multioutput models and correct the significant wave height and wind speed ...
Keywords: significant wave height; wind speed; denoising autoencoders; autoencoders; gradient boosting; machine learning 1. Introduction Wind wave parameter forecasting is known to be a difficult task. Wind wave gen- eration is a non-stationary stochastic process, with its parameters changing with...