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

Abstract: This article proposes an extended state observer based robust model predictive velocity control to decrease system prediction error under parameter ...

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...

Lehigh researchers create new method that improves consistency between predicted and observed data. An international team of mathematicians led by Lehigh University statistician Taeho Kim has ...

During model development, it is essential to focus on model quality, including reducing bias risk, designing appropriate sample sizes, conducting external validation, and ensuring model ...

Machine learning predicted ASD using sex-specific prenatal/perinatal factors: pregestational BMI, socioeconomic status, maternal age, and more.

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In this tutorial, we describe the iterative, data-based development and evaluation of an intersectionality-informed large language model designed to support patient teaching in this population.

In this tutorial, we explore the Advanced Model Context Protocol (MCP) and demonstrate how to use it to address one of the most unique challenges in modern AI systems: enabling real-time interaction ...

Abstract: In this article, we advance a compensation matrix based model predictive control (CMB-MPC) framework for the register control of roll-to-roll (R2R) printing systems to overcome the ...