The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
IEEE

Sb-PiPLU: A Novel Parametric Activation Function for Deep Learning

Abstract: The choice of activation function—particularly non-linear ones—plays a vital role in enhancing the classification performance of deep neural networks. In recent years, a variety of ...
Reuters

Formula One cost cap delay raises speculation about possible breach

MEXICO CITY, Oct 24 (Reuters) - At least one team looks likely to be in breach of cost caps in the yet-to-be published Formula One accounts, Sauber team boss Jonathan Wheatley said on Friday. The ...
EurekAlert!

Geophysical-machine learning tool for continuous subsurface geomaterials characterization

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
IEEE

Learning Guided Implicit Depth Function With Scale-Aware Feature Fusion

Abstract: Recently, the single image super-resolution based on implicit image function is a hot topic, which learns a universal model for arbitrary upsampling scales. By contrast, color-guided depth ...