Abstract: An identification method is presented for the arctan two-parameter model, which describes the deadtime effect voltage error of permanent magnet synchronous ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Abstract: A method for calculating the critical current of high temperature superconducting (HTS) machine using boundary magnetic vector potential constrain and bisection method is proposed in this ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

Demand forecasting is a critical component of supply chain management and business operations. While traditional demand forecasting methods are geared towards continuous and stable demand patterns, ...