South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...
How can California State University, Northridge student athletes enhance their performances? Learning how to get a good night ...
Abstract: This paper introduces a wind power prediction method based on LSTM neural network. The method uses principal component analysis (PCA) to downscale climate data, and then uses wavelet ...
A new study suggests humans can sense hidden objects without touching them, by detecting faint movements in sand. This unexpected form of “remote touch” challenges traditional ideas about how the ...
Abstract: The dynamic variation of the stock market plays a crucial role in assessing a country’s economic power and development. Modeling the chaotic fluctuations in stock prices aids investors and ...
Eyam Health and iiDiagnostics (iiDX), a company formed by the Infection Innovation Consortium: iiCON, have launched a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results