Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

The Council for the Indian School Certificate Examinations (CISCE) has released the ISC Computer Science (Subject Code - 868) for the Year 2027 evaluation cycle. It is designed specifically to make ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Abstract: In this letter, we consider the concept of mobile crowd-machine learning (MCML) for a federated learning model. The MCML enables mobile devices in a mobile network to collaboratively train ...

This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

Abstract: This study proposes a machine learning based methodology for estimating Arctic thin sea ice thickness (up to 1 m) from brightness temperature measurements of SMOS. The approach involves ...