We've wondered for centuries whether knowledge is latent and innate or learned and grasped through experience, and a new ...
Using a relatively young theory, a team of mathematicians has started to answer questions whose roots lie at the very ...
Abstract: In order to address the challenges of solving integer variables and the low decision-making efficiency in hydropower unit commitment optimization, this study proposed a data-driven solution ...
Co., Ltd. recently announced that its patent for "An Artificial Intelligence Optimization Method for Natural Gas Liquefaction Systems" has been authorized by the National Intellectual Property ...
Abstract: Artificial neural networks (ANNs) rely significantly on activation functions for optimal performance. Traditional activation functions such as ReLU and Sigmoid are commonly used. However, ...