The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Bjerksund-Stensland Model: A Key Tool for Pricing American Options

The Bjerksund-Stensland model is a key method for pricing American options. It helps investors determine optimal times for exercising options with dividends considered.

From Activity To Outcomes: A Practical ROI Narrative Framework For Engineering Leaders

Here is a practical framework to build an ROI narrative that holds up in executive reviews and resonates with nontechnical stakeholders.
Oak Ridge National Lab

A segmented approach to modeling building height: Delineating high-rise and low-rise buildings for enhanced height estimation

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for ...
IEEE

Nonlinear Modeling and Estimation of Voltage to Current Angle Derivative for Accurate Inductance Identification of PMSMs

Abstract: For permanent magnet synchronous machines (PMSMs), accurate inductances are critical to achieve high performance control, but inductance estimation can be affected by machine nonlinearities ...
IEEE

Nonlinearity Estimation and Compensation for Accurate PMSM Modeling and Voltage Prediction

Abstract: For permanent magnet synchronous machine (PMSM), the machine model is critical to predict the operating states for motor control, which, however, can be greatly affected by system ...