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 ...

Dive into Python Physics Lesson 23 and discover what happens when approximations fail in dipole electric fields. In this lesson, we explore the limitations of common approximation methods in physics ...

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, ...