IEEE

Evaluating Regression Models for Project Forecasting: A Comparative Analysis of Linear and Polynomial Approaches with Monte Carlo Simulations

Abstract: In this study, we investigate regression prediction schemes and apply them to planning as an extension to predicting future outcomes of projects using Monte Carlo simulations. Project ...
GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
Frontiers

Determination of methionine requirement for Pekin ducks: an integrated linear broken line and quadratic polynomial regression approach

1 Key Laboratory of Feed Biotechnology of Ministry of Agriculture and Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, China 2 Institute of Animal Sciences ...
IEEE

2D Polynomial Regression Modeling for Predictive Analysis of Glucose Concentration in NP-Model Fractal Microwave Sensor Using Frequency and Transmission Coefficient Disparities

Abstract: The article introduces a two-dimensional polynomial regression model for the predictive analysis of glucose concentration in a fractal microwave sensor NP model, utilizing frequency and ...