Design of Experiments (DoE) 101 Methods and Analysis Seminar (ONLINE EVENT)

Design of Experiments (DoE) offers market opportunities across various sectors by enabling efficient, informed decision-making through structured variable analysis. It benefits scientists, engineers, ...
EurekAlert!

SNU researchers develop technology to optimize organic thermoelectric device performance using machine learning

Seoul National University College of Engineering announced that a research team led by Professor Jeonghun Kwak of the Department of Electrical and Computer Engineering has developed a machine learning ...
JSTOR Daily

A Sequential Experimental Design Method to Evaluate a Combination of School Closure and Vaccination Policies to Control an H1N1-Like Pandemic

This is a preview. Log in through your library . Abstract Context: During the 2009 H1N1 pandemic, computational agent-based models (ABMs) were extensively used to evaluate interventions to control the ...
AZOM

Optimizing Additive Manufacturing Processes with Machine Learning

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...