Background: The habitual intake of infrequently consumed nutrients typically exhibits a highly skewed distribution, primarily driven by the reported consumption and non-consumption of nutrients in ...

Headlines screaming that iPhone Air order cuts mean the death of the model and is a failure ignore that Apple has absolute mastery of its supply chain, and guessing in advance what will be popular at ...

Abstract: In this paper, we evaluated various normal distribution transformation methods for converting non-normally distributed data into a normal distribution. These transformations facilitate the ...

Medically integrated care involves a multidisciplinary team using shared information systems to deliver coordinated, high-quality cancer care. Complex cancer therapies necessitate deep coordination ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...

Abstract: The accuracy of medical image segmentation plays a crucial role in assisting with diagnosis. One commonly used method is the Gaussian mixture model (GMM) due to its high accuracy and low ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the sudden and dramatic surge of ...

In today's rapidly evolving world of automated distribution and fulfillment, the need for efficient project delivery has never been more crucial. As companies strive to optimize their facilities and ...