Abstract: A typical recurrent neural network called zeroing neural network (ZNN) was developed for time-varying problem-solving in a previous study. Many applications result in time-varying linear ...

Abstract: A time-space (TS) traffic diagram, which presents traffic states in time-space cells with color, is an important traffic analysis and visualization tool. Despite its importance for ...

End-to-end ML pipeline that predicts house sale prices on the Ames Housing dataset using ZenML and MLflow. It ingests raw data, handles missing values and outliers, engineers features ...

Jupyter is a way of creating interactive notebooks that blend text, graphics, and code. This is a unique form of programming. It's taken the scientific programming world by storm. It's so easy to run ...

A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly fortunetelling, but forecasting is a huge industry and service that much of our ...

Look at this stack of 4 cups. (If possible, have some real plastic cups in the classroom.) It’s 16 cm high. How high would a stack of 8 cups be? Why? This is a bit of a trick question. Students are ...

Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we ...