A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

A Python-based quadratic nonlinear regression model for estimating hand-to-camera distance from 2D images.

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

The c-regression model is a method that simultaneously performs clustering and regression to obtain regression equations for each cluster and express the overall structure of the dataset. Gaussian ...

Kim, M. and Lee, S. (2016) Nonlinear Expectile Regression with Application to Value-at-Risk and Expected Shortfall Estimation. Computational Statistics & Data Analysis, 94, 1-19.

This paper used non-linear regression models and deep learning models to model the alfalfa leaf area index. We used this dataset to model the alfalfa leaf area index, as shown in Figure 1.

Nonlinear regression models represent an alternative way to describe plant growth. In this study, we aimed to model the growth of linseed using four methods for data collection (longitudinal, mean, ...