Abstract: How to improve the prediction accuracy of compressional wave speed has always been one of the basic research subjects in geoacoustics study field. Due to the stability of granularity, ...

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 ...

Abstract: Deep learning (DL)-based remaining useful life (RUL) prediction methods are widely used in the reliability assessment of power semiconductor devices. However, they oftentimes lack the ...

Objectives To derive sex-specific peak oxygen uptake (VO 2peak) reference equations for cycle ergometer cardiopulmonary exercise testing (CPET) that integrate estimations of lean body mass (eLBM) and ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

aCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK ...

Purpose of this project is to predict the temperature using different algorithms like linear regression, random forest regression, and Decision tree regression. The output value should be numerically ...

The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...

Suicide and suicidal behavior are major health problems, throughout the world. Close to one million people die by suicide annually, which make it a leading cause of death. However, it is still not ...

The current suspicion is not that Ollama stopped honoring max_tokens: direct Anthropic-compatible requests still map max_tokens to num_predict and stop at that cap. The more likely regression window ...

Background Acute kidney injury requiring dialysis (AKI-D) is a major contributor to morbidity and mortality worldwide, with ...