GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

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 ...
IEEE

Comparative Between Artificial Neural Networks and Multiple Linear Regression for the Estimation of Mechanical Properties in Cast Aluminum

Abstract: Metallic materials are composed of elements with defined chemical composition, and their intrinsic atomic arrangement confers them a distinctive crystalline structure. Thus, it is relevant ...
Analytics Insight

10 Must-Know Python Libraries for 2025

The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 projects. Mastering a mix of data, AI, and web-focused libraries ensures adaptability across multiple ...
technologynetworks

Linear Regression

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...
IEEE

A Dual Electrode Mixed Potential SO₂ Sensor With Humidity Self-Correction Function Utilizing Multiple Linear Regression Model

Abstract: Gas sensors have been widely used for environmental gas monitoring in many fields. However, the change of ambient humidity will cause deviation in gas concentration measurement. Moreover, ...
GitHub

pydynpd: A python package for dynamic panel model

pydynpd is the first python package to implement Difference and System GMM [1][2][3] to estimate dynamic panel data models. Below is a typical dynamic panel data model: In the equation above, x is a ...