Many factors can rapidly intersect between this dynamic of users and interventions. The application of theories, models, and frameworks (TMFs) can facilitate the systematic understanding and ...

Abstract: Since data scarcity and data heterogeneity are prevailing for medical images, well-trained Convolutional Neural Networks (CNNs) using previous normalization methods may perform poorly when ...

The Dark Forest theory is one proposed solution to the famed Fermi Paradox, which has bewitched astronomers for more than half a century. To put it concisely, the paradox asks if the cosmos is nearly ...

Abstract: Prior to training convolutional neural networks (CNNs) for image quality assessment (IQA), input normalization is sometimes recommended and sometimes not, according to the literature.