A PROPOSAL OF ANALYTICAL FORMULATIONS TO CALCULATE SAFETY LEAD TIMES UNDER DEMAND VARIABILITY. A CASE STUDY



Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms

Abstract The Belts tribological properties of self-lubricating composites are influenced by many variables and complex mechanisms.Data-driven methods, including machine learning (ML) algorithms, can yield a better comprehensive understanding of complex problems under the influence of multiple parameters, typically for how tribological performances

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Distributed cognition and process management enabling individualized translational research: The NIH Undiagnosed Diseases Program experience

The National Institutes of Health Undiagnosed Diseases Program Hand Pulse Sensor Wire (NIH UDP) applies translational research systematically to diagnose patients with undiagnosed diseases.The challenge is to implement an information system enabling scalable translational research.The authors hypothesized that similarly complex problems are resolva

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